{"id":"W2903782843","doi":"10.1016/j.arthro.2019.07.020","title":"Glenoid Track Instability Management Score: Radiographic Modification of the Instability Severity Index Score","year":2019,"lang":"en","type":"article","venue":"Arthroscopy The Journal of Arthroscopic and Related Surgery","topic":"Shoulder Injury and Treatment","field":"Medicine","cited_by":108,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Arthrex","keywords":"Instability; Index (typography); Radiography; Track (disk drive); Medicine; Surgery; Computer science; Physics; Mechanics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001346773,0.0004160177,0.0007729569,0.001965475,0.0002247879,0.0005576517,0.0005086306,0.0002876099,0.001295974],"category_scores_gemma":[0.004227386,0.0001262145,0.0006538604,0.00108893,0.0002772548,0.0004065318,0.0006098566,0.0003040887,0.000315708],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005608428,"about_ca_system_score_gemma":0.000658538,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002503732,"about_ca_topic_score_gemma":0.00392146,"domain_scores_codex":[0.9987838,0.0002246183,0.0002237793,0.0001798076,0.000518767,0.00006937618],"domain_scores_gemma":[0.9981529,0.0001677164,0.001161227,0.00005379189,0.0003180647,0.000146243],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001795542,0.00004312475,0.9891559,0.0000323096,0.00009518235,0.00002504816,0.00002587459,0.0002714478,0.000204203,0.00002170015,0.0003379217,0.009607671],"study_design_scores_gemma":[0.00005684869,0.0005560713,0.99681,0.00002353915,0.00008492812,0.0005280458,0.00007893841,0.001289657,0.0001814395,0.0000354049,0.000346423,0.000008735224],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.9927081,0.0009992156,0.001466854,0.0001744847,0.00003748354,0.0002832723,0.001180962,0.00004116079,0.003108346],"genre_scores_gemma":[0.9962728,0.0001988279,0.00183641,0.00003702348,0.00004099127,0.0001408318,0.001175682,0.000003459385,0.0002939265],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.002503732,"threshold_uncertainty_score":0.007122457,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01928326174434987,"score_gpt":0.2630423036330764,"score_spread":0.2437590418887265,"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."}}