{"id":"W4297968888","doi":"10.1097/acm.0000000000004872","title":"In Reply to Webster","year":2022,"lang":"en","type":"letter","venue":"Academic Medicine","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University of British Columbia","funders":"","keywords":"Health care; Transparency (behavior); Artificial intelligence; Applications of artificial intelligence; Process (computing); MEDLINE; Medicine; Psychology; Medical education; Computer science; Political science","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":[0.01232245,0.001974046,0.003451922,0.002500746,0.004771272,0.00899299,0.00514314,0.03113589,0.02246848],"category_scores_gemma":[0.1275484,0.001500816,0.002116337,0.002087149,0.006374561,0.01595779,0.0065344,0.06443194,0.01387905],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004108713,"about_ca_system_score_gemma":0.009073253,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004852029,"about_ca_topic_score_gemma":0.006465505,"domain_scores_codex":[0.9888227,0.00310636,0.001424033,0.002301901,0.003502447,0.0008425183],"domain_scores_gemma":[0.9369192,0.03424912,0.003929014,0.00203363,0.01659188,0.006277184],"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":[0.00001250864,0.000005600454,0.00008241542,0.00007241823,0.000007098073,0.0001122209,0.0001233392,0.000009252866,0.00001759077,0.0006883463,0.9962458,0.002623375],"study_design_scores_gemma":[0.00002896893,0.00002901433,0.0003849308,0.0008919967,0.00001968269,0.001166735,0.0009454247,0.00008625175,0.0001656922,0.002967082,0.9932262,0.0000880391],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.00006144368,0.004326405,0.00007410003,0.9441465,0.05069433,0.000008638392,0.00005137309,0.00003817898,0.000599102],"genre_scores_gemma":[0.0008630179,0.002531857,0.000134368,0.9694872,0.023685,0.00004781975,0.00002501969,0.00004793924,0.003177774],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.03113589,"threshold_uncertainty_score":0.07516456,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2403752862715348,"score_gpt":0.475057285811873,"score_spread":0.2346819995403382,"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."}}