{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.05805511,0.0003815328,0.001176548,0.001117444,0.0003916395,0.0001025759,0.000520032,0.0003124637,0.0002476613],"category_scores_gemma":[0.1900851,0.0003102289,0.0001483992,0.002728025,0.001081292,0.0001114478,0.0001989469,0.0007197307,0.0000109204],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006144228,"about_ca_system_score_gemma":0.001569813,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006497037,"about_ca_topic_score_gemma":0.001292744,"domain_scores_codex":[0.9862232,0.0008549314,0.009192494,0.001042502,0.001440847,0.001246001],"domain_scores_gemma":[0.9869835,0.006413561,0.004293174,0.000637009,0.001229849,0.0004428643],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007671436,0.0003225666,0.001675221,0.001846095,0.0007264353,0.0109314,0.03447933,0.00007394849,0.2371161,0.01037048,0.1601827,0.5415086],"study_design_scores_gemma":[0.008004528,0.001627448,0.0006421185,0.01287385,0.0009440954,0.001344171,0.064269,0.1794283,0.0269843,0.149603,0.5514077,0.002871496],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1876249,0.006822546,0.3856426,0.3584886,0.004565943,0.01105454,0.00003336235,0.003445636,0.04232183],"genre_scores_gemma":[0.6473878,0.0002107327,0.3465708,0.001124522,0.001570284,0.000741314,0.00006335939,0.0001199608,0.0022112],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5386371,"threshold_uncertainty_score":0.999935,"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."}}