{"id":"W2534322213","doi":"10.1371/journal.pmed.1002148","title":"Core Outcome Set–STAndards for Reporting: The COS-STAR Statement","year":2016,"lang":"en","type":"article","venue":"PLoS Medicine","topic":"Delphi Technique in Research","field":"Social Sciences","cited_by":650,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Population and Public Health; University of Ottawa; Ottawa Hospital","funders":"Medical Research Council; Universidad de Chile; Tampereen Yliopisto; Trinity College Dublin; University of Bath; University of Warwick; National Institute for Health and Care Research; Cancer Research UK; Sidra Medicine; University of Minnesota; McGill University; Shandong University; University of Bristol; Loyola University Chicago; Université François-Rabelais; National Institute for Health and Care Excellence; University of Washington; Université de Versailles Saint-Quentin-en-Yvelines; Universitat de València; Cincinnati Children's Hospital Medical Center","keywords":"Guideline; Checklist; Delphi method; Relevance (law); Family medicine; Systematic review; Psychology; MEDLINE; Medical education; Medicine; Computer science; Political science; Pathology; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":true,"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":[0.6851656,0.005441647,0.01147428,0.02590341,0.009107296,0.02918977,0.01154019,0.02477161,0.01205067],"category_scores_gemma":[0.8440744,0.006918215,0.01759561,0.02157515,0.0162811,0.01683004,0.01837777,0.03195539,0.02098767],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01751789,"about_ca_system_score_gemma":0.07719314,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004075863,"about_ca_topic_score_gemma":0.002419634,"domain_scores_codex":[0.1274159,0.4816479,0.3392368,0.008131044,0.03913252,0.004435781],"domain_scores_gemma":[0.06477036,0.4308489,0.1241072,0.06231512,0.3104819,0.007476581],"domain_codex":"methods","domain_gemma":"reporting","domain_candidate":"reporting","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00211084,0.0007177143,0.01012271,0.1055396,0.002130445,0.0007095577,0.01988494,0.004631922,0.00286864,0.08504005,0.5909377,0.175306],"study_design_scores_gemma":[0.002364494,0.000721022,0.01080305,0.2277799,0.001065274,0.001026431,0.01007119,0.01108458,0.005110133,0.08397593,0.6448045,0.001193469],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00656944,0.01167564,0.4467498,0.1715131,0.03879163,0.2609233,0.0274446,0.006009798,0.03032273],"genre_scores_gemma":[0.02632837,0.006095139,0.4899814,0.02561767,0.003650103,0.4273275,0.01640627,0.001482562,0.003110984],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.3148344,"threshold_uncertainty_score":0.3882468,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6736257750902077,"score_gpt":0.6038167656911178,"score_spread":0.06980900939908996,"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."}}