{"id":"W4403226435","doi":"10.1016/j.cjca.2024.08.200","title":"THE HEAVY BURDEN OF LOW-RISK MULTICENTRIC OBSERVATIONAL STUDIES IN CANADA","year":2024,"lang":"en","type":"article","venue":"Canadian Journal of Cardiology","topic":"Meta-analysis and systematic reviews","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Medicine; Observational study; Environmental health; Internal medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.07801242,0.001337757,0.007298203,0.00663971,0.002012557,0.006488236,0.002569292,0.002796815,0.00233526],"category_scores_gemma":[0.219176,0.001796145,0.01116832,0.01531027,0.002298932,0.001779943,0.002372712,0.002647961,0.0001363699],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01901824,"about_ca_system_score_gemma":0.03453239,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6341156,"about_ca_topic_score_gemma":0.7682755,"domain_scores_codex":[0.8888513,0.05988356,0.02653735,0.008608376,0.01364726,0.002472246],"domain_scores_gemma":[0.7091688,0.1916118,0.04750702,0.01775384,0.02987311,0.004085363],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"meta_analysis","study_design_gemma":"observational","study_design_scores_codex":[0.005774076,0.00008965038,0.3156399,0.07363106,0.5075397,0.0008066635,0.001306048,0.002224242,0.0007612746,0.004062529,0.01882713,0.06933774],"study_design_scores_gemma":[0.003291468,0.0002948944,0.4373282,0.03695465,0.4877282,0.0008246075,0.0009724635,0.00205861,0.0004433759,0.00465019,0.02511816,0.000335189],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.07620033,0.8942703,0.005851487,0.0111316,0.001489636,0.0006034398,0.007707304,0.0001048485,0.002641012],"genre_scores_gemma":[0.8385757,0.1361811,0.008842631,0.01089322,0.001092003,0.0005359617,0.003199118,0.000156929,0.0005233674],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9809818,"threshold_uncertainty_score":0.7360783,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6553464426184995,"score_gpt":0.4775777383995327,"score_spread":0.1777687042189668,"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."}}