{"id":"W4392387335","doi":"10.3949/ccjm.91a.23070","title":"Artificial intelligence in clinical practice: A look at ChatGPT","year":2024,"lang":"en","type":"article","venue":"Cleveland Clinic Journal of Medicine","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University; McGill University Health Centre; Hamilton Health Sciences; McMaster University; University of Toronto","funders":"University of Toronto","keywords":"Medicine; Medical physics; Intensive care medicine","routes":{"ca_aff":true,"ca_fund":true,"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":[0.01294177,0.0002609113,0.0005299137,0.005434147,0.002414443,0.01149265,0.00181911,0.004778185,0.01232238],"category_scores_gemma":[0.0555361,0.0004816758,0.0004245158,0.005693425,0.006425989,0.0115588,0.005865764,0.006297921,0.001251306],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006305445,"about_ca_system_score_gemma":0.009813815,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007365784,"about_ca_topic_score_gemma":0.01713119,"domain_scores_codex":[0.987852,0.00785908,0.0006909104,0.000415384,0.002512251,0.0006704477],"domain_scores_gemma":[0.9092514,0.07015657,0.003360374,0.002206556,0.007591419,0.007433722],"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":[0.000169779,0.0003801304,0.0171664,0.002334513,0.00005581848,0.002646673,0.02241979,0.0006321683,0.0005162767,0.1591708,0.1882719,0.6062358],"study_design_scores_gemma":[0.00008720916,0.0004032403,0.03671216,0.00919929,0.00005840324,0.008248502,0.03416148,0.002651641,0.0004797492,0.1031093,0.8047084,0.0001808523],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.03429725,0.1430001,0.01345346,0.5875055,0.008746708,0.0001700399,0.0003000122,0.0003906997,0.2121362],"genre_scores_gemma":[0.5406644,0.1324041,0.02809227,0.2281398,0.02124366,0.0005942152,0.0005018024,0.0007865829,0.04757318],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.01294177,"threshold_uncertainty_score":0.06844342,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3250241773770225,"score_gpt":0.5643881190292492,"score_spread":0.2393639416522267,"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."}}