{"id":"W4323035279","doi":"10.1002/9781119790686.ch27","title":"AI in Orthopaedic Surgery","year":2023,"lang":"en","type":"other","venue":"AI in Clinical Medicine","topic":"Medical Imaging and Analysis","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Sunnybrook Hospital; University of Toronto","funders":"","keywords":"Orthopedic surgery; Outcome (game theory); Field (mathematics); Artificial intelligence; Computer science; Medicine; Medical physics; Surgery; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"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":[0.001939724,0.0006723721,0.000476888,0.003109796,0.0009199546,0.002840353,0.0008496641,0.002486468,0.02205854],"category_scores_gemma":[0.005926056,0.0002101045,0.0004642465,0.00254396,0.0024899,0.002639315,0.001782689,0.003039528,0.007899477],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001881944,"about_ca_system_score_gemma":0.003089599,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002920059,"about_ca_topic_score_gemma":0.00426313,"domain_scores_codex":[0.9987209,0.0003981267,0.000123516,0.000149714,0.0005163896,0.00009131606],"domain_scores_gemma":[0.9968017,0.001679444,0.0002051276,0.0001523596,0.0008019711,0.0003594426],"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":[0.00003810573,0.00004358091,0.0006583041,0.002644096,0.00002940015,0.0002087006,0.0002478229,0.0009956727,0.0003626122,0.08211081,0.1692203,0.7434405],"study_design_scores_gemma":[0.000008462677,0.00004662678,0.001165488,0.002681454,0.0000142624,0.0007895729,0.0001660646,0.0003382349,0.0001844962,0.07099865,0.9235839,0.00002282832],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"methods","genre_scores_codex":[0.0009005864,0.7732636,0.009422439,0.04018299,0.008820829,0.00005593129,0.0001786162,0.0002343571,0.1669406],"genre_scores_gemma":[0.02806597,0.8617936,0.01045341,0.01700496,0.01770169,0.0001368938,0.0003282217,0.0001201375,0.06439507],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.02205854,"threshold_uncertainty_score":0.07379317,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05364736870030973,"score_gpt":0.3863157668895787,"score_spread":0.332668398189269,"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."}}