{"id":"W4213291808","doi":"10.46747/cfp.680289_1","title":"Correction","year":2022,"lang":"en","type":"erratum","venue":"Canadian Family Physician","topic":"Palliative Care and End-of-Life Issues","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Information retrieval; Text mining; Data science; World Wide Web; Medicine; Data mining","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00006463741,0.0002892381,0.0006454333,0.0004615341,0.000128718,0.0000122808,0.0001804276,0.0002652972,0.0001008763],"category_scores_gemma":[0.00005122141,0.0003183552,0.0002641952,0.0004706965,0.00008175408,0.00004268165,0.0000281631,0.001019148,0.0001152872],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000967394,"about_ca_system_score_gemma":0.003072811,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05990316,"about_ca_topic_score_gemma":0.0121181,"domain_scores_codex":[0.9985675,0.00004505094,0.0002508127,0.0003620261,0.0003563984,0.0004181993],"domain_scores_gemma":[0.9987366,0.00004278951,0.0001601709,0.0004672126,0.0001596774,0.0004335421],"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":[0.00001581062,0.00002563101,0.00008003331,0.00007650857,0.0001263535,0.0001009593,0.0001397326,0.000001776296,0.0000540075,0.00003236752,0.9715841,0.02776267],"study_design_scores_gemma":[0.0002789019,0.0002060954,0.001969591,0.0007954688,0.0001130692,0.000001219026,0.001017464,0.00004219907,0.00007102545,0.0000330043,0.9952083,0.000263647],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0002652736,0.01612774,0.000002013892,0.0002338385,0.0531561,0.0002743261,0.0003623246,0.0000450027,0.9295334],"genre_scores_gemma":[0.001521846,0.006846244,0.00007156411,0.1181851,0.008137006,0.0001084637,0.008353952,0.0002256777,0.8565501],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1179513,"threshold_uncertainty_score":0.9999269,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06694496425887442,"score_gpt":0.3348527122735694,"score_spread":0.267907748014695,"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."}}