{"id":"W1531083643","doi":"10.1111/j.1537-2995.2008.02058.x","title":"CONSORT comes to TRANSFUSION","year":2009,"lang":"en","type":"editorial","venue":"Transfusion","topic":"Meta-analysis and systematic reviews","field":"Decision Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Checklist; Consolidated Standards of Reporting Trials; Generalizability theory; Randomized controlled trial; Medicine; Statement (logic); Quality (philosophy); Guideline; Set (abstract data type); MEDLINE; Clinical trial; Family medicine; Medical education; Medical physics; Computer science; Psychology; Statistics; Surgery; Mathematics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.23497,0.004103616,0.00774705,0.01483527,0.004294398,0.02184413,0.01213909,0.03075169,0.08503789],"category_scores_gemma":[0.693444,0.004357059,0.009352947,0.01253229,0.009909038,0.01468519,0.0177102,0.04933163,0.07340746],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00892372,"about_ca_system_score_gemma":0.03175633,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002300108,"about_ca_topic_score_gemma":0.001932663,"domain_scores_codex":[0.6618448,0.2296402,0.04318374,0.01309094,0.046314,0.00592626],"domain_scores_gemma":[0.4571469,0.3497702,0.03393169,0.05354674,0.08774803,0.01785638],"domain_codex":null,"domain_gemma":"reporting","domain_candidate":"reporting","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001540837,0.00002361596,0.00009906261,0.002099401,0.0001669455,0.00007772615,0.0003006049,0.0001126007,0.00003254021,0.02027007,0.9330405,0.04362273],"study_design_scores_gemma":[0.0003347505,0.00007668185,0.0001763253,0.008231651,0.0001087494,0.0001971814,0.0001008487,0.0002010315,0.00009573127,0.03568447,0.9546953,0.00009729122],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.0002193354,0.03029719,0.05421564,0.388041,0.4812357,0.00470959,0.008035109,0.006679075,0.02656736],"genre_scores_gemma":[0.005957687,0.03017038,0.1206275,0.5531484,0.1817442,0.04497473,0.0111777,0.01273094,0.03946843],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.76503,"threshold_uncertainty_score":0.9434183,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4435868266307708,"score_gpt":0.4937828772320353,"score_spread":0.05019605060126453,"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."}}