{"id":"W4403650534","doi":"10.1007/s10676-024-09808-z","title":"Correction: AI content detection in the emerging information ecosystem: new obligations for media and tech companies","year":2024,"lang":"en","type":"article","venue":"Ethics and Information Technology","topic":"Big Data and Digital Economy","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal; Mila - Quebec Artificial Intelligence Institute","funders":"","keywords":"Content (measure theory); Ecosystem; Computer science; Data science; Information retrieval; World Wide Web; Internet privacy; Business; Ecology; Mathematics; Biology","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":[0.006421698,0.001823627,0.00164974,0.004778773,0.005608384,0.008931254,0.004517489,0.01840784,0.04934741],"category_scores_gemma":[0.167392,0.00119516,0.001280517,0.003892208,0.006275936,0.005553819,0.003545785,0.02267644,0.03248097],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00722436,"about_ca_system_score_gemma":0.0110162,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03525426,"about_ca_topic_score_gemma":0.03157793,"domain_scores_codex":[0.9889048,0.002185107,0.001624093,0.001554543,0.00490367,0.0008278342],"domain_scores_gemma":[0.8451731,0.036367,0.006772235,0.01092397,0.09603011,0.004733559],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001746147,0.000002917838,0.00006610827,0.00009151147,0.000009023816,0.0001257222,0.0001211204,0.00003110927,0.00004050868,0.001962468,0.9946579,0.002874141],"study_design_scores_gemma":[0.00003188085,0.0000100275,0.0006242327,0.0004057283,0.00003459,0.0003196983,0.0003335079,0.0004237352,0.000444944,0.003877529,0.9934366,0.00005761985],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.0003116737,0.0008499479,0.001435466,0.2137094,0.7742593,0.00003836583,0.001406947,0.0006798775,0.007309111],"genre_scores_gemma":[0.03775049,0.004690547,0.008152256,0.2558804,0.3875184,0.0003334647,0.001618711,0.002241253,0.3018144],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.04934741,"threshold_uncertainty_score":0.1650835,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04298933103889412,"score_gpt":0.2701211972685472,"score_spread":0.227131866229653,"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."}}