{"id":"W2343913309","doi":"10.1016/j.jval.2015.03.212","title":"The Processes For A Common Quality Assurance Approach To Multi-Centre Clinical Trials – The Mars Excite Experience","year":2015,"lang":"en","type":"article","venue":"Value in Health","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ottawa Hospital; University Health Network; University of Toronto; St. Joseph’s Healthcare Hamilton; Occupational Cancer Research Centre; MaRS","funders":"","keywords":"Protocol (science); Reimbursement; Quality assurance; Mandate; Consistency (knowledge bases); Clinical trial; Excellence; Health technology; Harmonization; Patient safety; Quality (philosophy); Directive; Medicine; Process management; Health care; Engineering management; Business; Computer science; Engineering; Operations management; Political science; Alternative medicine","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":[0.7439286,0.00258303,0.004512287,0.01023672,0.009274794,0.03739826,0.01278274,0.02385947,0.007335414],"category_scores_gemma":[0.7065939,0.004360229,0.0077672,0.008315409,0.03725236,0.02696071,0.03632367,0.06339078,0.00438791],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03215251,"about_ca_system_score_gemma":0.1076039,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009901929,"about_ca_topic_score_gemma":0.007184946,"domain_scores_codex":[0.2721125,0.5894926,0.04611881,0.02213449,0.06320477,0.006936794],"domain_scores_gemma":[0.1705398,0.355446,0.05430023,0.2095224,0.1745364,0.0356552],"domain_codex":"methods","domain_gemma":"methods","domain_candidate":"methods","domain_consensus":"methods","study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0006868511,0.0008556222,0.003538422,0.003259571,0.001251337,0.0005641958,0.01576906,0.006722677,0.001999731,0.5733373,0.1298235,0.2621918],"study_design_scores_gemma":[0.001178228,0.001522798,0.006590276,0.006485647,0.0002887024,0.0007511663,0.002531619,0.009806708,0.001936677,0.6691658,0.298912,0.0008302677],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003276551,0.008096586,0.6257178,0.3416384,0.006055117,0.004784732,0.0002151548,0.001286607,0.008929071],"genre_scores_gemma":[0.08337007,0.003657946,0.819571,0.07316157,0.005560974,0.008926625,0.0004066356,0.0007210947,0.004624048],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2560714,"threshold_uncertainty_score":0.3157817,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.8958734595184378,"score_gpt":0.6102145894217075,"score_spread":0.2856588700967303,"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."}}