{"id":"W3083722050","doi":"10.2196/18930","title":"Human- Versus Machine Learning–Based Triage Using Digitalized Patient Histories in Primary Care: Comparative Study","year":2020,"lang":"en","type":"article","venue":"JMIR Medical Informatics","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Lunds Universitet","keywords":"Triage; Inter-rater reliability; Physical examination; Medicine; Reliability (semiconductor); Medical history; Medical emergency; Psychology; Surgery","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":[0.01614287,0.000386079,0.0006952639,0.001595583,0.0007794719,0.001190274,0.0006857821,0.0009673402,0.001862261],"category_scores_gemma":[0.06046837,0.0004925285,0.0007715314,0.001012537,0.001278253,0.001524389,0.001197394,0.0007140604,0.0004886914],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001566083,"about_ca_system_score_gemma":0.001162199,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00565586,"about_ca_topic_score_gemma":0.007492111,"domain_scores_codex":[0.9844891,0.0107652,0.0009757712,0.00137391,0.001911634,0.0004844265],"domain_scores_gemma":[0.9340169,0.04846877,0.005252502,0.003089209,0.007518446,0.001654057],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"nonrandomized_trial","study_design_scores_codex":[0.005855536,0.003840489,0.9026732,0.001330646,0.0008157885,0.0008741068,0.0328416,0.0007682304,0.0007334423,0.0002307537,0.0006975696,0.04933859],"study_design_scores_gemma":[0.0005538398,0.02361856,0.9506681,0.0002984509,0.0003959096,0.00137218,0.01631,0.004510484,0.0006763355,0.0002668063,0.001233842,0.00009556146],"study_design_candidate":"nonrandomized_trial","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984064,0.0003546719,0.0003719024,0.00004176767,0.00001287963,0.0001387334,0.00006402731,0.000006228213,0.0006034531],"genre_scores_gemma":[0.9989262,0.0001856329,0.0005640647,0.00005234884,0.0000265801,0.00006585287,0.00006701332,0.000003633154,0.0001086453],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01614287,"threshold_uncertainty_score":0.08537269,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2505295560286794,"score_gpt":0.4554866975687785,"score_spread":0.2049571415400991,"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."}}