{"id":"W2963263619","doi":"10.1097/acm.0000000000002887","title":"The Delphi Method","year":2019,"lang":"en","type":"article","venue":"Academic Medicine","topic":"Delphi Technique in Research","field":"Social Sciences","cited_by":127,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"MEDLINE; Delphi method; Delphi; Medical education; Psychology; Computer science; Medicine; Political 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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.01032561,0.00007220497,0.0001378198,0.00006613282,0.0003692423,0.00001070017,0.000973931,0.0002027317,0.0009198065],"category_scores_gemma":[0.003431548,0.00004238199,0.00002408504,0.0004528433,0.0005652565,0.00008594892,0.00009681723,0.0008254676,0.0004749293],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008598957,"about_ca_system_score_gemma":0.0001435347,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001258649,"about_ca_topic_score_gemma":0.00007463274,"domain_scores_codex":[0.9976348,0.0004872446,0.0002432476,0.0001892576,0.001000426,0.0004450737],"domain_scores_gemma":[0.9966153,0.002749078,0.00007464539,0.0003038875,0.0001069993,0.0001500758],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000227679,0.000002136515,0.004128009,0.00001068862,0.0000188779,0.000005006802,0.02274569,0.000001325556,0.003276573,0.4959123,0.3920973,0.08177932],"study_design_scores_gemma":[0.0001569878,0.00003906484,0.0002612121,0.00004439808,0.000005586043,0.000002478534,0.01610665,0.00007974006,0.0001788119,0.03942046,0.9436431,0.00006152334],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.03434258,0.003180666,0.007091259,0.3313624,0.001648059,0.001384649,0.00000100711,0.0003971301,0.6205922],"genre_scores_gemma":[0.9075341,0.005450209,0.0009292447,0.002835931,0.001691659,0.00006525818,0.000001622833,0.000022642,0.08146932],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8731915,"threshold_uncertainty_score":0.9999935,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1611394363849612,"score_gpt":0.55500926716283,"score_spread":0.3938698307778687,"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."}}