{"id":"W3110447907","doi":"10.2196/19416","title":"A Human-Algorithm Integration System for Hip Fracture Detection on Plain Radiography: System Development and Validation Study","year":2020,"lang":"en","type":"article","venue":"JMIR Medical Informatics","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Algorithm; Hip fracture; Radiography; Emergency department; Internal medicine; Machine learning; Radiology; Osteoporosis; Computer science","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":[0.006409958,0.0007996765,0.0007006874,0.0007623887,0.0003387607,0.0008002445,0.001074527,0.0008673035,0.00152271],"category_scores_gemma":[0.01025073,0.0003269606,0.0006472952,0.0004903264,0.000428519,0.0006251173,0.001176147,0.0007280352,0.0005986368],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009952015,"about_ca_system_score_gemma":0.001520189,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005406597,"about_ca_topic_score_gemma":0.004211687,"domain_scores_codex":[0.9975697,0.001044773,0.0002192332,0.0004922873,0.000507492,0.0001663954],"domain_scores_gemma":[0.9951965,0.001955239,0.0003499255,0.0006940851,0.001603004,0.0002011621],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.004065029,0.005019708,0.1366405,0.0009652207,0.001629437,0.0006026226,0.0007023058,0.08808258,0.0276944,0.0008774528,0.01126455,0.7224563],"study_design_scores_gemma":[0.0006054629,0.005298656,0.06730752,0.0001321979,0.0005055818,0.0008317585,0.0001896795,0.883302,0.03435202,0.0004840859,0.006894268,0.00009674233],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8759911,0.001533931,0.1133647,0.0003450962,0.0002369612,0.00152228,0.0008098354,0.004093136,0.002102922],"genre_scores_gemma":[0.8786349,0.0002751198,0.1166176,0.0002551372,0.0000466336,0.0007185331,0.001943049,0.00009500016,0.00141402],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006409958,"threshold_uncertainty_score":0.03389949,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09081524535478216,"score_gpt":0.3915038481020998,"score_spread":0.3006886027473176,"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."}}