{"id":"W4250205086","doi":"10.1503/cmaj.080133","title":"Correction","year":2008,"lang":"en","type":"article","venue":"Canadian Medical Association Journal","topic":"Cancer Risks and Factors","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Information retrieval; World Wide Web; Text mining; Data science; Medicine; Natural language processing","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003615818,0.00005590772,0.0001318123,0.0001229936,0.0002416246,0.00001420404,0.00004422917,0.00020788,0.007096741],"category_scores_gemma":[0.0009774918,0.00004882508,0.00008187364,0.000151939,0.0000228036,0.00005501043,0.000002831039,0.0007079115,0.0002351],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001277928,"about_ca_system_score_gemma":0.003670615,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006367546,"about_ca_topic_score_gemma":0.01776905,"domain_scores_codex":[0.9986233,0.00002966991,0.0001952615,0.00007168859,0.0008292597,0.0002508176],"domain_scores_gemma":[0.9980721,0.00004412223,0.00007899635,0.00004910571,0.0002204731,0.001535185],"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":[0.000006206432,0.00001081466,0.2926966,9.744491e-7,0.00003126036,0.00056599,0.0001424654,6.718178e-7,0.000004895142,0.000009294202,0.6821255,0.02440535],"study_design_scores_gemma":[0.0005171427,0.00004521219,0.3335267,0.00002345741,0.00001159751,0.00396295,0.00007277828,0.0001492883,0.00001364814,0.000008487047,0.6616226,0.00004612254],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8995652,0.0003035406,0.0001923362,0.04132364,0.007984883,0.0001151332,0.000007941484,0.00004327203,0.050464],"genre_scores_gemma":[0.9776071,0.0004307036,0.00003086411,0.0113044,0.002744117,0.000001638972,0.000005453298,0.000009974775,0.007865792],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07804181,"threshold_uncertainty_score":0.9938109,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01084467646764625,"score_gpt":0.2478650775311837,"score_spread":0.2370204010635374,"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."}}