{"id":"W4406576745","doi":"10.1016/j.yhls.2015.04.009","title":"10.1016/j.yhls.2015.04.009","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Shoulder Injury and Treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Rotator cuff; Tears; Computed tomography; Medicine; Tomography; Radiology; Surgery","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004347749,0.0009086095,0.0004043489,0.001233864,0.0007005612,0.001691042,0.0008064524,0.002478109,0.8684098],"category_scores_gemma":[0.001048274,0.0002730273,0.0004448173,0.0005133773,0.0006475174,0.001660326,0.0009754169,0.001036221,0.7286152],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006258931,"about_ca_system_score_gemma":0.0009628178,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002282914,"about_ca_topic_score_gemma":0.002236546,"domain_scores_codex":[0.9997981,0.00001957833,0.00001743917,0.00005599668,0.00005377778,0.00005516093],"domain_scores_gemma":[0.9993775,0.0001082116,0.00008518651,0.00003177534,0.0001218333,0.0002754321],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003414241,0.0004606011,0.008641496,0.0006262509,0.00004324577,0.0006306882,0.0001479294,0.0002057342,0.001043054,0.00422652,0.2103698,0.7732633],"study_design_scores_gemma":[0.0001127047,0.0002868976,0.01483455,0.001805761,0.00007016226,0.005709202,0.0005929185,0.0004059916,0.0007520998,0.005326055,0.970063,0.00004068891],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01168428,0.01433748,0.002616506,0.007684181,0.002254192,0.0001212178,0.003105365,0.001442416,0.9567544],"genre_scores_gemma":[0.03274609,0.006699379,0.001961055,0.002242138,0.0009660998,0.0001091308,0.002009087,0.0002205535,0.9530464],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1315902,"threshold_uncertainty_score":0.1876974,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01107379795189536,"score_gpt":0.2422678668945251,"score_spread":0.2311940689426298,"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."}}