{"id":"W4405529625","doi":"10.1016/j.puhe.2024.11.019","title":"Knowledge is not all you need for comfort in use of AI in healthcare","year":2024,"lang":"en","type":"article","venue":"Public Health","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; York University; Western University","funders":"","keywords":"Health care; Medicine; Nursing; Political science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001670094,0.0001252623,0.000408158,0.0006718847,0.00004186472,0.00003784948,0.00007936071,0.0001525054,0.00003774765],"category_scores_gemma":[0.0004889295,0.0001076031,0.00007559225,0.0008675748,0.00004334468,0.0002470731,0.00002046487,0.000426427,0.00002443721],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007145099,"about_ca_system_score_gemma":0.004537969,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04194715,"about_ca_topic_score_gemma":0.008992754,"domain_scores_codex":[0.9977784,0.0001125121,0.0009708013,0.0003305035,0.0001772327,0.000630594],"domain_scores_gemma":[0.9986309,0.0004016674,0.00007734363,0.0002761962,0.0002308558,0.0003830659],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001653889,0.0008207863,0.2161659,0.007257966,0.00002862583,0.000007051607,0.04199168,0.000004466342,0.00006692721,0.01399749,0.05244255,0.6670512],"study_design_scores_gemma":[0.000328736,0.001654975,0.06054811,0.001531055,0.00001266411,0.00002227345,0.003798659,0.01782969,0.0008356348,0.003377217,0.9097766,0.0002844211],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.347869,0.002104292,0.0005097328,0.646857,0.0009537886,0.00150853,0.00005056365,0.00006349848,0.00008353646],"genre_scores_gemma":[0.9706852,0.0004505469,0.0005434409,0.02723786,0.0002389236,0.0001606793,0.0001228523,0.00002852509,0.000531942],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.857334,"threshold_uncertainty_score":0.9644326,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5476719112806043,"score_gpt":0.5366668115534889,"score_spread":0.01100509972711539,"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."}}