{"id":"W4404026051","doi":"10.2196/51446","title":"The Potential of Artificial Intelligence Tools for Reducing Uncertainty in Medicine and Directions for Medical Education","year":2024,"lang":"en","type":"article","venue":"JMIR Medical Education","topic":"Clinical Reasoning and Diagnostic Skills","field":"Medicine","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Michael's Hospital; Canada Research Chairs; Public Health Ontario; University of Toronto","funders":"Wellcome Trust","keywords":"Certainty; Plan (archaeology); Artificial intelligence; Field (mathematics); Patient care; Computer science; Psychology; Medicine; Nursing","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.02844238,0.0009969862,0.000583343,0.003995176,0.001633064,0.009963705,0.002120414,0.004474416,0.008936789],"category_scores_gemma":[0.07130457,0.0003577067,0.001024148,0.001930737,0.008576346,0.01039158,0.0051448,0.005448719,0.001202545],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002566104,"about_ca_system_score_gemma":0.005313649,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001215034,"about_ca_topic_score_gemma":0.001724835,"domain_scores_codex":[0.9828379,0.01312518,0.0007032527,0.0004964154,0.002488534,0.0003487937],"domain_scores_gemma":[0.8493537,0.1352504,0.004273737,0.003465085,0.005485573,0.002171557],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001490884,0.0002931275,0.004708189,0.003098765,0.0001566594,0.0002753206,0.00237569,0.009344142,0.0006157011,0.2956921,0.03606637,0.6472249],"study_design_scores_gemma":[0.00005481046,0.0001227488,0.001769137,0.004593756,0.00007124593,0.0003873728,0.002377444,0.01890847,0.0007171524,0.8324317,0.1384677,0.00009842455],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.01212984,0.1041988,0.3226233,0.4639541,0.003991899,0.0003494012,0.0002651232,0.0009172047,0.09157038],"genre_scores_gemma":[0.4237442,0.07623331,0.4540373,0.03232921,0.005499387,0.0008169207,0.000240861,0.0001675135,0.006931314],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02844238,"threshold_uncertainty_score":0.1504195,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04061356468283583,"score_gpt":0.4439357087797559,"score_spread":0.40332214409692,"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."}}