{"id":"W2320350537","doi":"10.1097/ccm.0000000000001466","title":"Determinants of Citation Impact in Large Clinical Trials in Critical Care","year":2015,"lang":"en","type":"review","venue":"Critical Care Medicine","topic":"Meta-analysis and systematic reviews","field":"Decision Sciences","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University; St. Michael's Hospital","funders":"","keywords":"Medicine; Interquartile range; Clinical trial; Randomized controlled trial; MEDLINE; 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":[{"model":"gemma","categories":["metaresearch","bibliometrics"],"domain":"evaluation","study_design":"observational","genre":"review","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":["bibliometrics"],"domain":null,"study_design":"observational","genre":"review","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"}],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","bibliometrics"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.6312026,0.002287963,0.01114602,0.06445949,0.003033859,0.01940295,0.00597821,0.005349885,0.01024085],"category_scores_gemma":[0.9401084,0.001938859,0.009403391,0.1029796,0.006755165,0.01628286,0.007882932,0.004712535,0.001342161],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007291531,"about_ca_system_score_gemma":0.01061462,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002434618,"about_ca_topic_score_gemma":0.004147859,"domain_scores_codex":[0.2775548,0.3763543,0.2562902,0.01579793,0.07137197,0.002630725],"domain_scores_gemma":[0.0122606,0.8930628,0.06692957,0.009831266,0.01697435,0.0009414714],"domain_codex":"methods","domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.005865592,0.0003001928,0.3501064,0.2682077,0.06370368,0.0009459847,0.007998382,0.002861253,0.0005000264,0.01676004,0.02391109,0.2588396],"study_design_scores_gemma":[0.005934258,0.001949667,0.5602067,0.1704792,0.09161147,0.004567287,0.005587303,0.008334597,0.001957917,0.09082983,0.05765593,0.000885827],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.08814802,0.8061128,0.02357469,0.03164024,0.004470015,0.009317954,0.01376032,0.0006034686,0.02237248],"genre_scores_gemma":[0.8322913,0.1002875,0.0367994,0.005202264,0.005484409,0.01364102,0.004667717,0.0004978279,0.00112858],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9355405,"threshold_uncertainty_score":0.4547929,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.9465369354342983,"score_gpt":0.7688826758742692,"score_spread":0.1776542595600291,"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."}}