{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006707998,0.001813208,0.001411142,0.005232239,0.003661328,0.005067506,0.003318819,0.004943954,0.3282127],"category_scores_gemma":[0.1303957,0.0008729762,0.001824578,0.003867858,0.002107249,0.003531724,0.002649456,0.007758861,0.1562315],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00484388,"about_ca_system_score_gemma":0.007713083,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.019189,"about_ca_topic_score_gemma":0.01655444,"domain_scores_codex":[0.9901665,0.001888171,0.001402451,0.001200928,0.004173437,0.001168502],"domain_scores_gemma":[0.9217383,0.01845713,0.003754077,0.006113037,0.0475669,0.002370433],"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":[0.000016751,0.00000155343,0.00003907005,0.00004658536,0.000003466464,0.00004358001,0.00002422666,0.000008938077,0.00001223122,0.000814545,0.9958229,0.003166193],"study_design_scores_gemma":[0.00003146429,0.000008265883,0.0004935806,0.000243228,0.00001214342,0.0002185913,0.00007532524,0.00006051728,0.000104243,0.001513079,0.9972183,0.00002116768],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.0002743664,0.0008549574,0.001506535,0.1175972,0.8447211,0.0000909318,0.01339527,0.001783678,0.01977603],"genre_scores_gemma":[0.02020933,0.003741479,0.006676115,0.1193683,0.2077462,0.0006641974,0.02313795,0.005769401,0.6126871],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.3282127,"threshold_uncertainty_score":0,"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."}}