{"id":"W4392902244","doi":"10.46747/cfp.7003216","title":"Could artificial intelligence improve patient care and physician workload?","year":2024,"lang":"en","type":"article","venue":"Canadian Family Physician","topic":"Healthcare Operations and Scheduling Optimization","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Surprise; Workload; Psychology; Computer science; Medical emergency; Nursing; Medicine; Social psychology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005070329,0.000801044,0.0004235069,0.0009400159,0.00140483,0.005593252,0.001728827,0.002623511,0.04497324],"category_scores_gemma":[0.03033379,0.0003872891,0.0006014064,0.001959021,0.001739055,0.005100823,0.001242753,0.002773461,0.00884315],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004492247,"about_ca_system_score_gemma":0.007934304,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06549221,"about_ca_topic_score_gemma":0.08904225,"domain_scores_codex":[0.9976224,0.001031725,0.00006685912,0.0001796546,0.0006367358,0.0004625672],"domain_scores_gemma":[0.9889564,0.004594528,0.0007266742,0.0007207546,0.003785152,0.001216477],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002853747,0.0001565682,0.006237833,0.0002065039,0.000100771,0.00003739234,0.0001673103,0.006046832,0.0002258774,0.04062846,0.7292677,0.2166395],"study_design_scores_gemma":[0.0003474074,0.0003057176,0.02136016,0.001273058,0.0001701766,0.0001964511,0.002140746,0.03883303,0.001307369,0.2392627,0.6946023,0.0002009156],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.008586013,0.005911323,0.01717987,0.8136152,0.008252623,0.00009788693,0.001501059,0.001870271,0.1429857],"genre_scores_gemma":[0.6045043,0.01965908,0.05817855,0.2076415,0.0155863,0.0003254169,0.002898532,0.001459563,0.08974665],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06549221,"threshold_uncertainty_score":0.1504504,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05185779507100365,"score_gpt":0.35703056249347,"score_spread":0.3051727674224664,"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."}}