{"id":"W4406544960","doi":"10.1016/j.yhls.2015.02.011","title":"10.1016/j.yhls.2015.02.011","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Orthopedic Surgery and Rehabilitation","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Reduction (mathematics); Ultrasound; RADIUS; Medicine; Radiology; Computer science; Mathematics; Computer security; Geometry","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":[0.0005419359,0.0008637605,0.0004483617,0.001151583,0.0008985488,0.002202388,0.0008316193,0.002704453,0.874236],"category_scores_gemma":[0.001274701,0.0003037977,0.000436676,0.0004728434,0.0007164171,0.001833742,0.001185402,0.001152919,0.7617857],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006028974,"about_ca_system_score_gemma":0.001130439,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002004658,"about_ca_topic_score_gemma":0.002126529,"domain_scores_codex":[0.9997994,0.0000182544,0.00001451852,0.00005489179,0.00005706667,0.00005577993],"domain_scores_gemma":[0.9993518,0.00009750572,0.00007374775,0.00003540599,0.0001353573,0.0003062145],"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":[0.0003351858,0.0004191591,0.008026592,0.0005659781,0.00004175295,0.0008151485,0.0002427437,0.0001831106,0.001388174,0.00610656,0.2896753,0.6922003],"study_design_scores_gemma":[0.00008802216,0.0002025401,0.01161896,0.001338987,0.00005804748,0.004889366,0.0007197711,0.0003131882,0.0006216317,0.006649591,0.9734605,0.00003945992],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01147,0.01211908,0.002856025,0.00942007,0.003062129,0.0001166726,0.003292429,0.001632062,0.9560317],"genre_scores_gemma":[0.02730806,0.004769259,0.001789403,0.002251577,0.000845664,0.00009605333,0.002031911,0.0002436132,0.9606645],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.125764,"threshold_uncertainty_score":0.179387,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006708571664026062,"score_gpt":0.2085906592701996,"score_spread":0.2018820876061735,"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."}}