{"id":"W2963953020","doi":"10.1016/j.arthro.2019.02.019","title":"Patient‐Reported Outcomes After Use of a Bioabsorbable Collagen Implant to Treat Partial and Full‐Thickness Rotator Cuff Tears","year":2019,"lang":"en","type":"article","venue":"Arthroscopy The Journal of Arthroscopic and Related Surgery","topic":"Shoulder Injury and Treatment","field":"Medicine","cited_by":78,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Rotator cuff; Tears; Concomitant; Implant; Demographics; Elbow; Surgery; Visual analogue scale; Cuff; Magnetic resonance imaging; Radiology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004365032,0.0002588563,0.0008602046,0.0002102729,0.0001149118,0.00003422306,0.00004146736,0.0001621764,0.0002080781],"category_scores_gemma":[0.0001327898,0.000147593,0.00017834,0.0002381205,0.0002156565,0.0002324748,0.00005979337,0.0002113122,0.0000157431],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003149087,"about_ca_system_score_gemma":0.0001776888,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004988017,"about_ca_topic_score_gemma":0.00000794539,"domain_scores_codex":[0.9979736,0.0001591803,0.0009763189,0.0002142525,0.0003616926,0.0003149607],"domain_scores_gemma":[0.9981509,0.0005836772,0.0004959865,0.0003318853,0.0001622335,0.0002753044],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003841421,0.0003464694,0.9692554,0.0001100211,0.0009394173,0.0004843305,0.002339682,0.00002838071,0.01933085,0.00001899374,0.001541241,0.001763821],"study_design_scores_gemma":[0.008312576,0.007152764,0.8836832,0.002417773,0.003878792,0.01286188,0.002357247,0.00005691803,0.07010016,0.000324284,0.008116209,0.0007381966],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.995554,0.001847575,0.00001788418,0.001072697,0.000834932,0.0005907615,0.00001664257,0.00001526643,0.00005020224],"genre_scores_gemma":[0.9971654,0.001478457,0.0003188485,0.0004754119,0.00002611965,0.000008633684,0.000003118061,0.00002684472,0.0004971601],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08557217,"threshold_uncertainty_score":0.6018667,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01684858357381507,"score_gpt":0.2713504266879085,"score_spread":0.2545018431140935,"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."}}