{"id":"W4383873416","doi":"10.1002/aet2.10891","title":"Educator's blueprint: A primer on consensus methods in medical education research","year":2023,"lang":"en","type":"article","venue":"AEM Education and Training","topic":"Delphi Technique in Research","field":"Social Sciences","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Network for Innovation in Education; University of Ottawa; Medical Council of Canada; McMaster University","funders":"","keywords":"Blueprint; Delphi method; Delphi; Consensus conference; Medical education; Best practice; Key (lock); Computer science; Management science; Political science; Medicine; Engineering; Library science; Artificial intelligence","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":[0.281948,0.002222426,0.00343897,0.006619835,0.004318676,0.01238233,0.007284917,0.02131696,0.01266857],"category_scores_gemma":[0.4350202,0.002287057,0.003355041,0.004614338,0.01410791,0.01738396,0.01478579,0.03198976,0.01237727],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005853866,"about_ca_system_score_gemma":0.02651472,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001127236,"about_ca_topic_score_gemma":0.001552885,"domain_scores_codex":[0.6063214,0.3233126,0.02573906,0.006281943,0.03567472,0.002670391],"domain_scores_gemma":[0.3668373,0.5276404,0.0118526,0.01224263,0.07294113,0.008485898],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009444414,0.0001592228,0.0003174885,0.006639367,0.00008387741,0.0003116595,0.008593831,0.0005432098,0.0003552919,0.06745328,0.7116236,0.2038247],"study_design_scores_gemma":[0.00008790159,0.0001542893,0.0002725199,0.01245596,0.00002936561,0.0005898598,0.002512908,0.0009790196,0.0003523119,0.07834937,0.9041039,0.0001125358],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"methods","genre_scores_codex":[0.0002863111,0.01903786,0.2509576,0.6559361,0.06264017,0.002032538,0.0002809398,0.001158535,0.007669949],"genre_scores_gemma":[0.008409683,0.02244016,0.5718389,0.3344347,0.02889045,0.0137662,0.0003944457,0.001836173,0.0179894],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.718052,"threshold_uncertainty_score":0.8854859,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4527885132138716,"score_gpt":0.6642427953211386,"score_spread":0.211454282107267,"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."}}