{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0023833,0.0002839444,0.001389723,0.0009002102,0.000006518316,0.000005306624,0.0002156484,0.0005470995,0.002108753],"category_scores_gemma":[0.004517142,0.0002259312,0.0002356425,0.001005706,0.0002556308,0.00002272001,0.00003822685,0.001675425,0.0005489771],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004146505,"about_ca_system_score_gemma":0.00005085527,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009200382,"about_ca_topic_score_gemma":0.001980181,"domain_scores_codex":[0.9972144,0.0001382346,0.001397049,0.0004054281,0.0004307003,0.0004141423],"domain_scores_gemma":[0.996417,0.002777381,0.00009114787,0.0004436343,0.0000147239,0.000256044],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000001464048,0.00003030389,0.04616972,0.0001867205,0.00006985552,0.0003914239,0.00001343346,0.00002342784,5.764256e-7,0.000007295589,0.8893297,0.06377608],"study_design_scores_gemma":[0.001060457,0.00002795087,0.01922326,0.008032181,0.0001135777,0.000002896751,0.00002732734,0.007755483,3.352647e-7,0.0003067042,0.9630376,0.0004122637],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003326298,0.03445103,0.003179591,0.1210298,0.04692821,0.001338325,0.00005305686,0.01164669,0.778047],"genre_scores_gemma":[0.09169786,0.09928887,0.0002933972,0.04777877,0.02597733,0.0002256263,0.0003707077,0.005903523,0.7284639],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.08837157,"threshold_uncertainty_score":0.9988034,"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."}}