{"id":"W2125238253","doi":"10.1186/s13063-015-0905-9","title":"Core Outcomes in Ventilation Trials (COVenT): protocol for a core outcome set using a Delphi survey with a nested randomised trial and observational cohort study","year":2015,"lang":"en","type":"article","venue":"Trials","topic":"Delphi Technique in Research","field":"Social Sciences","cited_by":60,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto East General Hospital; University of Toronto; Sunnybrook Health Science Centre; West Park Healthcare Centre; St. Michael's Hospital","funders":"Medical Research Council; National Institute for Health and Care Research","keywords":"Medicine; Delphi method; Observational study; Outcome (game theory); Randomized controlled trial; Protocol (science); Clinical trial; Psychological intervention; Cohort study; Intensive care medicine; Alternative medicine; Surgery; Nursing; Internal medicine; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.1505426,0.0002542794,0.002098651,0.0003246145,0.0002567806,0.0002562981,0.0003271749,0.000215469,0.00004723307],"category_scores_gemma":[0.1077863,0.0001866528,0.0001932296,0.0007364823,0.0001776671,0.0003378234,0.00006897824,0.0001760123,0.000001724747],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003321597,"about_ca_system_score_gemma":0.001235034,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006607592,"about_ca_topic_score_gemma":0.007545717,"domain_scores_codex":[0.9872202,0.007676538,0.002591042,0.0005144033,0.001537854,0.0004599619],"domain_scores_gemma":[0.9818238,0.01552034,0.001349424,0.0003042943,0.0007927505,0.0002093592],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"randomized_trial","study_design_scores_codex":[0.242971,0.0004076753,0.7541147,0.00001930713,0.0001040105,0.000006333139,0.0016474,0.00004247317,0.0000230176,0.0001210528,0.0003545595,0.0001884388],"study_design_scores_gemma":[0.5751874,0.001498326,0.4175178,0.00008493993,0.0001762548,0.000001366954,0.002251476,0.0006707119,0.00001746388,0.001800031,0.0004232658,0.0003710186],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6102599,0.000002000269,0.0004522305,0.0001254553,0.0001414387,0.3888397,0.00008915502,0.00005997882,0.00003019035],"genre_scores_gemma":[0.6109639,5.651536e-7,0.001536235,0.00003201744,0.0002774787,0.3869204,0.00006625619,0.00003438006,0.0001687264],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.336597,"threshold_uncertainty_score":0.9988746,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.943394892298078,"score_gpt":0.6832528118965439,"score_spread":0.2601420804015342,"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."}}