{"id":"W4396667355","doi":"10.1371/journal.pmed.1004390","title":"ACcurate COnsensus Reporting Document (ACCORD) explanation and elaboration: Guidance and examples to support reporting consensus methods","year":2024,"lang":"en","type":"article","venue":"PLoS Medicine","topic":"Clinical practice guidelines implementation","field":"Medicine","cited_by":55,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Faculty of Medical Sciences, Newcastle University; Cancer Research UK; Fakultet Medicinskih Nauka, Univerziteta U Kragujevcu; Newcastle University; Philip Morris International","keywords":"Elaboration; MEDLINE; Scientific consensus; Consensus conference; Computer science; Medicine; Data science; Political science; Library science; Law","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":[0.4414348,0.004809303,0.004537917,0.02105556,0.007427497,0.01689555,0.01114277,0.02471734,0.0614],"category_scores_gemma":[0.7863859,0.005932709,0.008321431,0.01701848,0.009328784,0.01941893,0.0197473,0.02029947,0.07181112],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0126079,"about_ca_system_score_gemma":0.05515522,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005260778,"about_ca_topic_score_gemma":0.006114328,"domain_scores_codex":[0.2847639,0.523728,0.1369068,0.007160513,0.04321383,0.004226943],"domain_scores_gemma":[0.1240979,0.478276,0.06635343,0.06610202,0.2597631,0.005407629],"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":[0.0003681566,0.0002221761,0.0007456508,0.01581757,0.0001300302,0.0004530119,0.01425195,0.001323037,0.0008769979,0.02932203,0.8169148,0.1195746],"study_design_scores_gemma":[0.0008022055,0.0002849429,0.001581191,0.05782046,0.0001567939,0.0006468176,0.006038998,0.003980594,0.002044366,0.04092286,0.8851373,0.0005835318],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002905002,0.005332259,0.6171952,0.1581114,0.02638802,0.09716738,0.02159761,0.01596085,0.05534226],"genre_scores_gemma":[0.01013903,0.003774082,0.7971641,0.01952035,0.002840685,0.1417778,0.01067664,0.00257838,0.01152907],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.5585653,"threshold_uncertainty_score":0.6888103,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4298253299852635,"score_gpt":0.5679938675702422,"score_spread":0.1381685375849787,"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."}}