{"id":"W2073482431","doi":"10.1016/j.theriogenology.2006.04.017","title":"Critical evaluation of scientific articles and other sources of information: An introduction to evidence-based veterinary medicine","year":2006,"lang":"en","type":"review","venue":"Theriogenology","topic":"Meta-analysis and systematic reviews","field":"Decision Sciences","cited_by":44,"is_retracted":false,"has_abstract":false,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Credibility; Context (archaeology); Alternative medicine; Evidence-based medicine; Computer science; Medicine; Management science; Reading (process); Engineering ethics; Pathology; Epistemology; Political science; Engineering","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":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.3386067,0.0065857,0.0219401,0.05745145,0.003665728,0.0167566,0.006988795,0.009751937,0.00578401],"category_scores_gemma":[0.5746991,0.004452497,0.01530094,0.02797778,0.0114877,0.01468111,0.007439153,0.01214755,0.001768153],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01349225,"about_ca_system_score_gemma":0.03997484,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003805206,"about_ca_topic_score_gemma":0.01107744,"domain_scores_codex":[0.486079,0.3214491,0.1159984,0.006497378,0.06891436,0.001061763],"domain_scores_gemma":[0.1740406,0.7176988,0.03802299,0.008169429,0.05953273,0.002535472],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0009154981,0.0002447668,0.001291904,0.2920065,0.01135348,0.000323926,0.001633016,0.0009998792,0.00108848,0.01335218,0.0610026,0.6157879],"study_design_scores_gemma":[0.001938635,0.001367557,0.006151598,0.6113934,0.02179921,0.002124903,0.001893209,0.00519435,0.002874435,0.1231542,0.220825,0.001283516],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0003412386,0.9292891,0.03463047,0.02338928,0.007379746,0.003368466,0.0003932092,0.0001776868,0.00103084],"genre_scores_gemma":[0.01235574,0.6730155,0.27674,0.01085252,0.01450758,0.0108533,0.0003652275,0.0002308746,0.001079317],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.6613933,"threshold_uncertainty_score":0.8156157,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.8312587597800363,"score_gpt":0.5779688851330099,"score_spread":0.2532898746470263,"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."}}