{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002726797,0.0002739066,0.0002923774,0.00005276709,0.0009175232,0.0004088018,0.0006358739,0.000154973,0.001054264],"category_scores_gemma":[0.0000436308,0.0002573514,0.0001145653,0.00002631939,0.0002511647,0.001554858,0.0002028498,0.0003333577,0.0002502079],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00015552,"about_ca_system_score_gemma":0.00004532599,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004401601,"about_ca_topic_score_gemma":0.001036991,"domain_scores_codex":[0.9984005,0.0001395583,0.0002334516,0.0004640315,0.0001483678,0.0006140922],"domain_scores_gemma":[0.9987839,0.00004642104,0.0001692457,0.0007350664,0.00004170737,0.0002236661],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01131032,0.001992764,0.5156943,0.0001418784,0.001444272,0.02341067,0.006359538,0.000006238883,0.04505753,0.00195272,0.2428908,0.149739],"study_design_scores_gemma":[0.000669395,0.0002527948,0.638935,0.000004565987,0.00003410028,0.0006000784,0.00002061556,0.000005601041,0.0001172585,0.00001723158,0.3590962,0.0002471472],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9880107,0.0001174886,0.00001627016,0.00115251,0.0005593317,0.0006247361,0.00003263698,0.00009784474,0.00938848],"genre_scores_gemma":[0.9464069,0.00001890737,0.00009770339,0.0006006229,0.0001433825,0.001172849,0.0000236122,0.00003345381,0.05150257],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1494919,"threshold_uncertainty_score":0.9999879,"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."}}