{"id":"W1974102980","doi":"10.1503/cmaj.081271","title":"Clinical trials regulation -- how Canada compares","year":2008,"lang":"en","type":"article","venue":"Canadian Medical Association Journal","topic":"Health and Medical Research Impacts","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Clinical trial; Medicine; Computer science; Pathology","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":[0.08649622,0.0009403313,0.002186528,0.007229771,0.01854382,0.04476092,0.007621589,0.02587659,0.02148568],"category_scores_gemma":[0.2061104,0.001640982,0.002185661,0.01060236,0.02125144,0.0131785,0.01084735,0.01907009,0.003177021],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.1761603,"about_ca_system_score_gemma":0.3992747,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9305993,"about_ca_topic_score_gemma":0.9511401,"domain_scores_codex":[0.8538516,0.04036243,0.007544603,0.01073643,0.06227512,0.0252299],"domain_scores_gemma":[0.7053481,0.07803613,0.00719075,0.01125152,0.1376272,0.06054612],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0001771852,0.00008738165,0.005755525,0.0004163556,0.0001897402,0.0002410601,0.001820683,0.0006951976,0.0001820806,0.4629032,0.4656615,0.06187014],"study_design_scores_gemma":[0.0002026661,0.00008638555,0.01187685,0.001582437,0.0001808133,0.0001424154,0.00270967,0.000511095,0.0001783895,0.07630708,0.9060022,0.0002199951],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.003508333,0.02165827,0.003961895,0.7724069,0.01002514,0.0002762346,0.0009798133,0.0003719186,0.1868116],"genre_scores_gemma":[0.136236,0.01467013,0.008852558,0.7574784,0.00466127,0.0005711825,0.001047906,0.0007303866,0.07575209],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9135038,"threshold_uncertainty_score":0.9555373,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2827513722145198,"score_gpt":0.4748908385416171,"score_spread":0.1921394663270973,"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."}}