{"id":"W2469337833","doi":"","title":"Highs and lows across Canada: Average veterinary fees in 2015.","year":2016,"lang":"en","type":"article","venue":"PubMed","topic":"Veterinary Practice and Education Studies","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Veterinary medicine; Inclusion (mineral); Business; Geography; Psychology; Medicine; Social psychology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001124352,0.0004182276,0.0006933057,0.004043958,0.003745116,0.003110889,0.001923158,0.0007060643,0.005638159],"category_scores_gemma":[0.006960492,0.0004216587,0.0008874679,0.01331543,0.001104863,0.001692573,0.00217728,0.001875885,0.0005167749],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.07974673,"about_ca_system_score_gemma":0.09100399,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9982786,"about_ca_topic_score_gemma":0.9990809,"domain_scores_codex":[0.9961796,0.0001326585,0.000287058,0.0003062,0.001525951,0.001568509],"domain_scores_gemma":[0.9908196,0.0002474403,0.001294373,0.0001019273,0.004239815,0.003296707],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000438909,0.00009446082,0.8235486,0.0005093837,0.0003029297,0.0003021495,0.00376007,0.0003283965,0.0001114722,0.003064098,0.1172696,0.0502699],"study_design_scores_gemma":[0.00001904399,0.00002576077,0.9769797,0.000239191,0.00007261251,0.0001201434,0.00588905,0.0001900762,0.00005234199,0.0001692191,0.01620245,0.00004031609],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7141519,0.02534667,0.0003414419,0.02047171,0.0005421803,0.0001817435,0.1995637,0.0001617129,0.03923889],"genre_scores_gemma":[0.9648955,0.004329344,0.0003547914,0.001516932,0.00004783462,0.00003997803,0.02355953,0.00003291521,0.005223147],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07974673,"threshold_uncertainty_score":0.5786058,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2315284488246636,"score_gpt":0.4448825803005891,"score_spread":0.2133541314759256,"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."}}