{"id":"W2517618234","doi":"10.18849/ve.v1i3.34","title":"Non-Clinical Benefits of Evidence-Based Veterinary Medicine","year":2016,"lang":"en","type":"article","venue":"Veterinary Evidence","topic":"Pharmaceutical studies and practices","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal College of Physicians and Surgeons of Canada","funders":"","keywords":"Icon; Medicine; Computer science","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":[0.06531474,0.0005655072,0.0009813238,0.006040996,0.001221509,0.009529976,0.002290687,0.004368312,0.072542],"category_scores_gemma":[0.2926814,0.0004768244,0.001925725,0.004921399,0.003144749,0.006703428,0.005560784,0.00370419,0.008297866],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006125367,"about_ca_system_score_gemma":0.01582981,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002482025,"about_ca_topic_score_gemma":0.006089337,"domain_scores_codex":[0.8952276,0.0683694,0.009665409,0.002118005,0.02261558,0.002004142],"domain_scores_gemma":[0.539328,0.3152329,0.04220783,0.02020689,0.06663563,0.0163887],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001138408,0.0006590038,0.02176459,0.03408814,0.001242716,0.0004828014,0.001075868,0.0005229576,0.0005398695,0.07256071,0.1651481,0.7007768],"study_design_scores_gemma":[0.0007046775,0.00128786,0.06622292,0.08484642,0.001453926,0.001865311,0.003631138,0.0006990513,0.00128071,0.06132419,0.7765687,0.0001151348],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"commentary","genre_scores_codex":[0.01637777,0.2248962,0.005142588,0.3685462,0.007125947,0.0008791099,0.005035206,0.000232588,0.3717645],"genre_scores_gemma":[0.7104824,0.133197,0.02007656,0.08283437,0.0119761,0.00096524,0.004411853,0.0002442127,0.0358122],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.072542,"threshold_uncertainty_score":0.3454215,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6574796051156648,"score_gpt":0.5296095456259963,"score_spread":0.1278700594896686,"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."}}