{"id":"W2923577065","doi":"10.1017/cem.2019.3","title":"Delving into Delphis","year":2019,"lang":"en","type":"letter","venue":"Canadian Journal of Emergency Medicine","topic":"Delphi Technique in Research","field":"Social Sciences","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa; McMaster University","funders":"","keywords":"Medicine; Content (measure theory); Mathematics","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":["research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003728342,0.0002682226,0.0006449695,0.001497643,0.0004439938,0.00002315473,0.001861696,0.0008611319,0.02636422],"category_scores_gemma":[0.006102672,0.0002370969,0.0002490675,0.0008677522,0.0004753346,0.0002209875,0.00002727797,0.003198485,0.0001343508],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001098732,"about_ca_system_score_gemma":0.007929304,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2432161,"about_ca_topic_score_gemma":0.2372898,"domain_scores_codex":[0.9955215,0.0004967591,0.001129589,0.0002564964,0.0016077,0.0009878856],"domain_scores_gemma":[0.9960258,0.0003293851,0.0007251841,0.0004298655,0.00158698,0.0009028058],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000002115891,0.000001809366,0.0008588846,0.00007631206,0.00005892741,0.0009955282,0.004218173,9.380498e-7,0.00001216351,0.0001656415,0.9923874,0.001222067],"study_design_scores_gemma":[0.000117407,0.0001522681,0.00004804102,0.0005486113,0.00006599491,0.00001158238,0.001293645,0.000002415768,0.000001920943,0.003062497,0.9944726,0.0002229865],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0001976484,0.005376166,0.0001797884,0.9094008,0.02239994,0.0003105108,0.000009142494,0.00001682198,0.06210918],"genre_scores_gemma":[0.02476236,0.01230268,0.001342449,0.6173596,0.195823,0.00003356618,0.00009249834,0.0004058095,0.1478779],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.2920412,"threshold_uncertainty_score":0.9991012,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2670155143333178,"score_gpt":0.4762092167404393,"score_spread":0.2091937024071215,"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."}}