{"id":"W2217660800","doi":"10.1186/s13063-015-1123-1","title":"Making smart investment decisions in clinical research","year":2015,"lang":"en","type":"article","venue":"Trials","topic":"Biosimilars and Bioanalytical Methods","field":"Immunology and Microbiology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Mount Sinai Hospital; Arthritis Research Centre of Canada; Research Canada; St. Paul's Hospital; University of British Columbia","funders":"National Institutes of Health; Office of Research and Development; Canadian Institutes of Health Research; U.S. Department of Veterans Affairs","keywords":"Medicine; Clinical trial; Alternative medicine; Clinical research; Rheumatoid arthritis; Intensive care medicine; Investment (military); Pathology; Immunology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.04929993,0.00008819482,0.0006020374,0.0001748781,0.00006049053,0.00001874437,0.0002355672,0.0003811998,0.0004218426],"category_scores_gemma":[0.04153055,0.00005914973,0.0001388254,0.0003119533,0.0003136627,0.00002907344,0.000178463,0.000577143,0.0006812607],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005009438,"about_ca_system_score_gemma":0.0001634061,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003193396,"about_ca_topic_score_gemma":0.00004051802,"domain_scores_codex":[0.9901127,0.008077255,0.001063929,0.0002926847,0.00008069644,0.0003726951],"domain_scores_gemma":[0.9894927,0.009898384,0.0001027724,0.0003224902,0.0001232999,0.00006031615],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.004935049,0.001914823,0.03264965,0.00001054229,0.000516499,0.0001091138,0.0006949959,0.00001682381,0.01661541,0.04883086,0.4890223,0.4046839],"study_design_scores_gemma":[0.004351995,0.000577724,0.01046303,0.00009577459,0.00004386881,0.00000923054,0.0003148708,0.00002468769,0.004116625,0.03620658,0.9436228,0.0001728313],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.674679,0.03450119,0.004651669,0.02836843,0.01949089,0.006565739,0.0001468917,0.0003312008,0.231265],"genre_scores_gemma":[0.9825321,0.0002492845,0.009249358,0.002685574,0.0002763312,0.00005290998,0.000009199876,0.00001688724,0.004928286],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4546005,"threshold_uncertainty_score":0.9789458,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.8398231400302498,"score_gpt":0.6343544987436722,"score_spread":0.2054686412865776,"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."}}