{"id":"W4387808285","doi":"10.3389/ti.2023.12046","title":"Corrigendum: Delphi: A Democratic and Cost-Effective Method of Consensus Generation in Transplantation","year":2023,"lang":"en","type":"erratum","venue":"Transplant International","topic":"Assisted Reproductive Technology and Twin Pregnancy","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Hôpital Maisonneuve-Rosemont; University Health Network","funders":"","keywords":"Medicine; Delphi method; Democracy; Delphi; Transplantation; Intensive care medicine; Internal medicine; Law; Political science; Computer 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":[],"consensus_categories":[],"category_scores_codex":[0.01031521,0.003294987,0.002593185,0.003417224,0.00408636,0.006410135,0.004784059,0.01075255,0.06261697],"category_scores_gemma":[0.1453775,0.001486503,0.002834549,0.002536112,0.005090124,0.003949757,0.003809534,0.01397967,0.02997794],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006413993,"about_ca_system_score_gemma":0.007243732,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02293623,"about_ca_topic_score_gemma":0.03557052,"domain_scores_codex":[0.9868612,0.004846226,0.001874014,0.001443531,0.00430789,0.0006671919],"domain_scores_gemma":[0.935813,0.02442903,0.002229344,0.002141767,0.03328845,0.002098353],"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":[0.00001545694,0.0000038513,0.00003297591,0.0001104668,0.00001025233,0.0001530939,0.00005050574,0.00004459854,0.00001857332,0.0007770461,0.9939829,0.004800348],"study_design_scores_gemma":[0.00004622107,0.00002172298,0.000389429,0.000735789,0.00004643695,0.0007126082,0.0002000724,0.0005669998,0.0001978092,0.003055139,0.9939521,0.00007560556],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.0000795725,0.001131135,0.00180534,0.09659015,0.8977476,0.00003658595,0.0003625109,0.0004187985,0.00182823],"genre_scores_gemma":[0.008953687,0.01010021,0.01204676,0.2468646,0.5956904,0.0006801281,0.001329966,0.002135793,0.1221984],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.06261697,"threshold_uncertainty_score":0.2094746,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04780329041681209,"score_gpt":0.3353951668679864,"score_spread":0.2875918764511743,"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."}}