{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003964614,0.0001330396,0.000467734,0.0005544915,0.004198793,0.004743261,0.0005781188,0.001388724,0.00752153],"category_scores_gemma":[0.02966815,0.0001964767,0.000626319,0.0007531855,0.006178649,0.002835988,0.002082385,0.002314766,0.001132251],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00565337,"about_ca_system_score_gemma":0.01557682,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1658561,"about_ca_topic_score_gemma":0.1891641,"domain_scores_codex":[0.9940221,0.001988514,0.0002739131,0.0003688171,0.002119315,0.001227317],"domain_scores_gemma":[0.9795814,0.005459753,0.003289668,0.001370855,0.004428142,0.005870247],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003822659,0.0003210595,0.3788354,0.001197162,0.0004715845,0.001626533,0.1339655,0.0007184549,0.002707621,0.02019622,0.1145108,0.3450675],"study_design_scores_gemma":[0.00007043547,0.0006662225,0.3470292,0.002800116,0.0002932771,0.00342469,0.2699767,0.001023659,0.001376174,0.02955183,0.3433348,0.0004529004],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.543902,0.0106313,0.008293592,0.3188587,0.001264981,0.0001222332,0.001438297,0.0003226084,0.1151664],"genre_scores_gemma":[0.9793172,0.001977304,0.001534694,0.0139157,0.000107582,0.00002106563,0.000172876,0.00002262291,0.002930899],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1658561,"threshold_uncertainty_score":0.3297815,"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."}}