{"id":"W2791361521","doi":"10.4414/smw.2018.14587","title":"Funding characteristics of randomised clinical trials supported by the Swiss National Science Foundation: a retrospective cohort study","year":2018,"lang":"en","type":"article","venue":"Swiss Medical Weekly","topic":"Meta-analysis and systematic reviews","field":"Decision Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Science Foundation","keywords":"Medicine; Interquartile range; Randomized controlled trial; Family medicine; Retrospective cohort study; Cohort; Clinical trial; MEDLINE; Surgery; Internal 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":[],"category_scores_codex":[0.07391926,0.0006362231,0.001780665,0.007828868,0.001040133,0.002750978,0.001416889,0.001689778,0.004981617],"category_scores_gemma":[0.2209849,0.0009377912,0.003088096,0.01362527,0.001251949,0.003560945,0.002167409,0.001164832,0.001191183],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002409446,"about_ca_system_score_gemma":0.004792806,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00241008,"about_ca_topic_score_gemma":0.002305754,"domain_scores_codex":[0.8517402,0.05279373,0.05717529,0.01056864,0.02353609,0.004186016],"domain_scores_gemma":[0.5246165,0.1372398,0.2893064,0.02277003,0.02013099,0.005936264],"domain_codex":null,"domain_gemma":"incentives","domain_candidate":"incentives","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002204832,0.00009437741,0.980184,0.00175877,0.001713772,0.0002691251,0.0006109131,0.000223434,0.000105659,0.000562407,0.002312117,0.009960611],"study_design_scores_gemma":[0.0005895185,0.0007802019,0.9826424,0.002523054,0.001922553,0.001808508,0.0007877926,0.0005859374,0.0001960459,0.0005928471,0.007481425,0.0000897705],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9205072,0.03799713,0.005225893,0.002735389,0.0002054284,0.002658661,0.02696013,0.00007461471,0.003635537],"genre_scores_gemma":[0.9821433,0.003277519,0.002215728,0.0005786478,0.0002170549,0.003800922,0.007348175,0.00005834754,0.000360304],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9260808,"threshold_uncertainty_score":0.3909271,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7163468000012434,"score_gpt":0.6134393952708531,"score_spread":0.1029074047303903,"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."}}