{"id":"W2980480169","doi":"10.1016/j.vhri.2019.08.305","title":"PMS12 BENEFICIOS CLINICOS Y ECONOMICOS EN LA IMPLEMENTACION DE UNIDADES DE COORDINACION DE FRACTURAS (FLS) EN MEXICO","year":2019,"lang":"es","type":"article","venue":"Value in Health Regional Issues","topic":"Health and Medical Education","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Amgen (Canada)","funders":"","keywords":"Medicine; Humanities; Philosophy","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":[0.001987508,0.0002181955,0.0002816198,0.0006041854,0.0008541816,0.0009735113,0.0006755235,0.0006505229,0.006234189],"category_scores_gemma":[0.0042472,0.0002220039,0.0003544166,0.0006524104,0.0004215253,0.0005202204,0.001500968,0.0006999733,0.0002346659],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004820158,"about_ca_system_score_gemma":0.007758931,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1363874,"about_ca_topic_score_gemma":0.2036447,"domain_scores_codex":[0.9988785,0.0003496385,0.00005762888,0.00008256893,0.0001220233,0.0005095331],"domain_scores_gemma":[0.9974355,0.0005337143,0.0006539485,0.00008753798,0.0004364324,0.0008529251],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003918878,0.002912024,0.823523,0.0006695043,0.0002610609,0.0004311245,0.004890816,0.001921777,0.001971961,0.003392559,0.01241386,0.1436934],"study_design_scores_gemma":[0.0002090432,0.0009396846,0.9790092,0.0001865439,0.000167903,0.00007644341,0.006495509,0.0005799643,0.000382363,0.0001413574,0.01180089,0.00001118178],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9931422,0.0003335,0.0001500706,0.001867744,0.00003488891,0.00007552544,0.0007093647,0.00002252425,0.003664072],"genre_scores_gemma":[0.9950139,0.0003743757,0.0004259076,0.0001484543,0.00003100177,0.0001559211,0.0003896208,0.000005394676,0.003455519],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1363874,"threshold_uncertainty_score":0.2711869,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05888963851128544,"score_gpt":0.487555824254205,"score_spread":0.4286661857429196,"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."}}