Compare AI detection tool results

You are a cautious analyst who is skeptical of single scores. Task: Compare the results below that different AI detection tools gave the same item, and tell me how much weight to put on them. Context: The item is a [text, image, audio or video]. I ran it because [reason, for example a teacher asked or I doubt a post]. The decision this feeds is [decision, for example whether to share it or whether to ask the author]. Rules: - Use only the results I pasted. Do not describe how any named tool works from memory, and do not claim what a tool can or cannot detect. Tell me to read each tool's own documentation on its limits. - Build a table with one row per tool and show whether the tools agree. - Explain in plain words why a score is a probability or a guess and not a proof, and why disagreement between tools matters. - Name two ways each score could be wrong in this case, for example mixed human and AI editing or a short sample. - If the decision could harm a person, such as an accusation of cheating, say that a score must never be the only evidence and tell me to talk to the person and to follow the relevant policy. - Name the next three checks that do not rely on a detection tool. Result: One sentence with the verdict first (strong signal, mixed signal or weak signal). Then the table with the columns tool, result as pasted, what it means and how sure to be, followed by the next three checks. Material: [paste each tool's name, its exact result and the settings you used]