{"id":"W7115896703","doi":"10.5334/pme.2326","title":"The Blurred Thresholds of AI-Use Disclosure: Health Professions Education Journal Editors’ Expectations of Necessity and Sufficiency","year":2025,"lang":"en","type":"article","venue":"Perspectives on Medical Education","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Health professions; MEDLINE; Alternative medicine; Health care","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.000810493,0.0001087571,0.0002303377,0.0002655073,0.0005640938,0.00003415604,0.0001321148,0.0001163414,0.00006348347],"category_scores_gemma":[0.008735658,0.00007440565,0.00006790317,0.0005726378,0.0004240456,0.0001677834,0.00002246312,0.0005367998,0.000001797353],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002689954,"about_ca_system_score_gemma":0.0159558,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005087092,"about_ca_topic_score_gemma":0.00009459316,"domain_scores_codex":[0.9981809,0.0002234,0.0006497824,0.0002284235,0.0005271928,0.0001902741],"domain_scores_gemma":[0.9973056,0.0006302788,0.0003373859,0.0002897793,0.001101703,0.0003352316],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0004025096,0.01011763,0.1561096,0.0005221285,0.00009950603,3.315065e-7,0.1636211,0.000003567447,0.0002372693,0.1303432,0.1055425,0.4330007],"study_design_scores_gemma":[0.0001871131,0.0008132638,0.2159426,0.002430139,0.00008722114,0.00003025708,0.7582156,0.0002385947,0.001037313,0.01525603,0.005617414,0.0001444747],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7719952,0.006517504,0.001159818,0.2121641,0.006518536,0.000726137,0.000003655063,0.00001984173,0.0008951733],"genre_scores_gemma":[0.9952624,0.001963109,0.0002634788,0.0008384901,0.001186658,0.00006144276,0.0000147367,0.000007558358,0.0004020652],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5945945,"threshold_uncertainty_score":0.9996142,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04647267173085598,"score_gpt":0.4663514767349138,"score_spread":0.4198788050040578,"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."}}