{"id":"W2912699747","doi":"","title":"Perioperative analgesic use by Ontario veterinarians, 2012.","year":2017,"lang":"en","type":"article","venue":"PubMed","topic":"Veterinary Pharmacology and Anesthesia","field":"Veterinary","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Medicine; Analgesic; Meloxicam; Anesthesia","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0002380659,0.0002526266,0.0001616759,0.001595409,0.0006471564,0.0005998794,0.0004042059,0.0002043549,0.01237467],"category_scores_gemma":[0.002398236,0.0002068778,0.0003260346,0.003041955,0.0002027721,0.0002951295,0.0004719698,0.0004592142,0.001500348],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00481384,"about_ca_system_score_gemma":0.007819687,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.841198,"about_ca_topic_score_gemma":0.9340439,"domain_scores_codex":[0.9993613,0.00003323539,0.00007350312,0.00004408494,0.000368494,0.000119408],"domain_scores_gemma":[0.998646,0.00008050543,0.0005134471,0.00002294269,0.0005238391,0.0002132837],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002321706,0.00007187999,0.8376706,0.0004489531,0.00007627556,0.0001463513,0.0005819981,0.0001297085,0.0004860274,0.0001359129,0.1159387,0.04408138],"study_design_scores_gemma":[0.00001236777,0.00002049578,0.9844933,0.00007661626,0.00001596597,0.00007474287,0.0003586773,0.0000775716,0.00002547,0.00001437985,0.01482559,0.000005005684],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5666074,0.0187702,0.0006130612,0.004898595,0.0005347381,0.0003411637,0.2854783,0.0005044364,0.1222521],"genre_scores_gemma":[0.894272,0.00926095,0.001107039,0.0008014076,0.0001284995,0.0002756044,0.05352364,0.00005285012,0.04057812],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.158802,"threshold_uncertainty_score":0.3194745,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1196862523351045,"score_gpt":0.3148805170941088,"score_spread":0.1951942647590043,"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."}}