{"id":"W4392013526","doi":"10.1177/23259671241226943","title":"Validating the Glenoid Track Concept Using Dynamic Arthroscopic Assessment","year":2024,"lang":"en","type":"article","venue":"Orthopaedic Journal of Sports Medicine","topic":"Shoulder Injury and Treatment","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Bone and Joint Health Institute; University of Calgary","funders":"Arthrex","keywords":"Medicine; Shoulders; Bankart repair; Reliability (semiconductor); Bankart lesion; Predictive value; Track (disk drive); Anterior shoulder; Fast track; Arthroscopy; Rotator cuff; Diagnostic accuracy; Surgery; Radiology; Nuclear medicine; Physical therapy; Internal medicine","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":[0.0209473,0.0006788866,0.0005008729,0.002161941,0.0004673879,0.001736404,0.001306919,0.0009487713,0.00121888],"category_scores_gemma":[0.05964563,0.0003522841,0.000914927,0.0009977092,0.001653698,0.001226948,0.001241672,0.0006015332,0.0005247323],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005960259,"about_ca_system_score_gemma":0.001254403,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002681077,"about_ca_topic_score_gemma":0.003776744,"domain_scores_codex":[0.9902621,0.002699574,0.002073752,0.0008916174,0.00369779,0.0003752815],"domain_scores_gemma":[0.9179025,0.0280471,0.0291786,0.00694508,0.01707883,0.0008478771],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001552248,0.00004662023,0.9879488,0.0001251079,0.00009457525,0.00006823112,0.0001631501,0.0001611934,0.0006986249,0.00003789641,0.0001023948,0.01039826],"study_design_scores_gemma":[0.0000747481,0.00197895,0.9853398,0.0009093676,0.0003923608,0.00291608,0.0008001192,0.00304835,0.003106547,0.0002478533,0.001147714,0.00003800627],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9910102,0.002163646,0.00440249,0.0001571297,0.00007791252,0.0002172829,0.0001899871,0.00002187835,0.001759451],"genre_scores_gemma":[0.9961926,0.0004470937,0.002926853,0.00005052561,0.00003394983,0.00006665858,0.0002087069,0.000004336842,0.00006928765],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0209473,"threshold_uncertainty_score":0.1107813,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02688270336066328,"score_gpt":0.3677619653506634,"score_spread":0.3408792619900001,"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."}}