{"id":"W2588010777","doi":"10.1038/542409a","title":"No publication without confirmation","year":2017,"lang":"en","type":"article","venue":"Nature","topic":"Health and Medical Research Impacts","field":"Medicine","cited_by":73,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"National Centre for the Replacement, Refinement and Reduction of Animals in Research","keywords":"Rigour; Flexibility (engineering); Computer science; Clinical trial; Engineering ethics; Data science; Epistemology; Medicine; Philosophy; Management; Engineering; Economics; Pathology","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":[],"category_scores_codex":[0.0005742584,0.00004354203,0.00009125243,0.00004192846,0.0001597377,0.00005686015,0.0001029615,0.0005878754,0.0003703729],"category_scores_gemma":[0.07975322,0.00003064876,0.00002035592,0.00002968486,0.00005064986,0.0001670441,0.00001847343,0.001520759,0.0005620267],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005467767,"about_ca_system_score_gemma":0.001044806,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000265981,"about_ca_topic_score_gemma":0.000003829269,"domain_scores_codex":[0.9990997,0.00001498331,0.00008463552,0.00009385315,0.0004279948,0.0002788014],"domain_scores_gemma":[0.9975376,0.00002648135,0.00006091455,0.0003952055,0.0004530301,0.001526803],"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":[0.0001877504,0.00006589828,0.0184549,0.0002193031,0.00001251193,0.00001281148,0.00005546246,8.522846e-9,0.001858986,0.00199277,0.8764741,0.1006655],"study_design_scores_gemma":[0.0008224289,0.00008392121,0.1295455,0.00006373241,0.00000522488,0.00001129545,0.000003418186,0.000174856,0.0005984944,0.00005506261,0.8686076,0.00002844634],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.06705101,0.0003168173,0.0001055486,0.390124,0.0005883292,0.0006881441,0.000008847625,0.00008743149,0.5410298],"genre_scores_gemma":[0.9563233,0.00005344137,0.0003253803,0.0292372,0.0005174416,0.000009903918,0.00005380563,0.000005993972,0.0134735],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8892723,"threshold_uncertainty_score":0.9279984,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0918822145595628,"score_gpt":0.4844474917158355,"score_spread":0.3925652771562727,"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."}}