{"id":"W4387842175","doi":"10.1016/j.jseint.2023.09.009","title":"Evaluation of information from artificial intelligence on rotator cuff repair surgery","year":2023,"lang":"en","type":"article","venue":"JSES International","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; Pan Am Clinic","funders":"","keywords":"Readability; Reliability (semiconductor); Rotator cuff; Comprehension; Quality (philosophy); Reading (process); Benchmark (surveying); Medicine; Class (philosophy); Medical physics; Computer science; Surgery; Artificial intelligence; Linguistics","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":[0.008265927,0.0003636795,0.0004022102,0.004669495,0.0002824991,0.00168487,0.0004048785,0.0004789261,0.00252087],"category_scores_gemma":[0.1186442,0.00009517274,0.0005717735,0.002597443,0.0004361003,0.001585868,0.00103128,0.0004095987,0.0005142812],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000831114,"about_ca_system_score_gemma":0.0006983066,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001578375,"about_ca_topic_score_gemma":0.001422193,"domain_scores_codex":[0.9874119,0.005580055,0.001447123,0.0004229048,0.004931984,0.0002059969],"domain_scores_gemma":[0.8371907,0.124939,0.01777791,0.003209559,0.01536577,0.001516945],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001409026,0.0006775808,0.7042519,0.001145996,0.0002617376,0.0003423413,0.002565218,0.002021089,0.001755501,0.0002179216,0.001798418,0.2835532],"study_design_scores_gemma":[0.0000643704,0.002830594,0.9764033,0.0006125374,0.0003361898,0.0009391379,0.001595105,0.006821185,0.004776006,0.0005806024,0.004986423,0.00005451933],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9876089,0.001365715,0.002390146,0.0003716766,0.00003190308,0.0001987857,0.0005912576,0.0001586141,0.007282941],"genre_scores_gemma":[0.9948499,0.0005420411,0.002999557,0.0001144663,0.00006181452,0.00006495255,0.0007432871,0.00002078329,0.0006031729],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008265927,"threshold_uncertainty_score":0.04371494,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3275502537209534,"score_gpt":0.4741264713595019,"score_spread":0.1465762176385486,"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."}}