{"id":"W6893188177","doi":"10.5281/zenodo.14781299","title":"Automatic image moderation","year":2017,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Hate Speech and Cyberbullying Detection","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Drive & Gear (Canada)","funders":"","keywords":"Image (mathematics); Moderation; Image processing; Social media; Studio","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001394479,0.000995827,0.0009077369,0.003487969,0.0007206224,0.000852676,0.000659896,0.0009521047,0.02016824],"category_scores_gemma":[0.004554959,0.0003016795,0.0005269796,0.001039565,0.000323442,0.001266927,0.002596339,0.0008590291,0.01209655],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002562103,"about_ca_system_score_gemma":0.0003475045,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005648755,"about_ca_topic_score_gemma":0.001058718,"domain_scores_codex":[0.9989047,0.0002126072,0.00004272015,0.0002816724,0.0003581444,0.0002000874],"domain_scores_gemma":[0.9969805,0.0006114399,0.0002351808,0.000559787,0.001334194,0.0002788527],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001865057,0.0002510734,0.01208924,0.0007732296,0.0001329629,0.0004870897,0.0007469201,0.0008922666,0.245878,0.002150138,0.05319429,0.6815398],"study_design_scores_gemma":[0.0002271533,0.001170797,0.09987741,0.0002572729,0.0003590418,0.002879817,0.001641839,0.1332046,0.5152361,0.006253688,0.2386605,0.0002318619],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3168207,0.002990094,0.5388004,0.00110064,0.001340544,0.00203499,0.007135378,0.07549205,0.05428524],"genre_scores_gemma":[0.5834057,0.0009229932,0.3707279,0.0003452958,0.0007580416,0.0009280016,0.009554807,0.003617373,0.02973991],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02016824,"threshold_uncertainty_score":0.06746948,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0291849387415199,"score_gpt":0.2501049940562355,"score_spread":0.2209200553147156,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}