{"id":"W4391135337","doi":"10.1371/journal.pmed.1004326","title":"ACCORD (ACcurate COnsensus Reporting Document): A reporting guideline for consensus methods in biomedicine developed via a modified Delphi","year":2024,"lang":"en","type":"article","venue":"PLoS Medicine","topic":"Delphi Technique in Research","field":"Social Sciences","cited_by":546,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Ipsen; Universiteit Leiden; Cancer Research UK; Bristol-Myers Squibb","keywords":"Checklist; Guideline; Delphi method; Delphi; Systematic review; MEDLINE; Medicine; Management science; Psychology; Medical education; Family medicine; Political science; Computer science; Pathology; Engineering","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":[0.5828204,0.003905762,0.004941574,0.02201174,0.006569027,0.0158251,0.01219647,0.01232718,0.008461439],"category_scores_gemma":[0.6849216,0.005766047,0.009994656,0.01998847,0.01014272,0.0137601,0.02145617,0.01970896,0.01025074],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01562103,"about_ca_system_score_gemma":0.08106734,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009202159,"about_ca_topic_score_gemma":0.00928922,"domain_scores_codex":[0.181299,0.6137881,0.1554234,0.007608082,0.03885704,0.00302447],"domain_scores_gemma":[0.2685691,0.3915316,0.05338403,0.04899868,0.231931,0.005585675],"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":[0.0007205764,0.0004604949,0.00278704,0.048406,0.0008106364,0.0006200023,0.04553586,0.003536634,0.002419717,0.06292945,0.4261944,0.4055793],"study_design_scores_gemma":[0.001658798,0.0007796089,0.005122124,0.1397071,0.000878616,0.001213429,0.01201207,0.009705925,0.003929365,0.05609538,0.7677112,0.00118646],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003471196,0.008266697,0.7153555,0.04653455,0.008397615,0.1849111,0.008777156,0.003589179,0.02069702],"genre_scores_gemma":[0.008161479,0.003718478,0.8317543,0.004270546,0.0004424013,0.1450807,0.004142832,0.0004973731,0.001931897],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.4171796,"threshold_uncertainty_score":0.5144568,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4175101234001092,"score_gpt":0.5897659238972763,"score_spread":0.1722558004971671,"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."}}