{"id":"W2074931820","doi":"10.1186/1471-2407-12-299","title":"Predictors of competing mortality to invasive breast cancer incidence in the Canadian National Breast Screening study","year":2012,"lang":"en","type":"article","venue":"BMC Cancer","topic":"Global Cancer Incidence and Screening","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; Public Health Ontario; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; California HIV/AIDS Research Program","keywords":"Surgical oncology; Medicine; Breast cancer; Incidence (geometry); Oncology; Internal medicine; Demography; Gynecology; Cancer","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001374221,0.0001822511,0.0003189157,0.0002042775,0.0001653835,0.00002884332,0.0002859094,0.00006876728,0.0003032922],"category_scores_gemma":[0.0002046009,0.0001423214,0.00007288786,0.0007778419,0.00008181175,0.0002717135,0.00007050662,0.000272039,0.000006563835],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00097312,"about_ca_system_score_gemma":0.002223277,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7699805,"about_ca_topic_score_gemma":0.9514851,"domain_scores_codex":[0.9975125,0.0001375866,0.0004116794,0.0002740602,0.001120099,0.0005441019],"domain_scores_gemma":[0.9986501,0.0001379486,0.0001476677,0.0002553384,0.000442553,0.0003664219],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001179465,0.00007975452,0.9925551,0.00003939102,0.00006406021,0.000009145816,0.004430593,0.001038096,0.00008878692,0.00005918385,0.0008974002,0.0006204796],"study_design_scores_gemma":[0.0005933444,0.000053239,0.9925758,0.0004965874,0.00008889668,0.0000848538,0.005632511,0.0000862689,0.00004504721,0.000004908493,0.0001949429,0.0001436394],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9954774,0.0004794863,0.00002703719,0.001061418,0.0002458674,0.0008692188,0.0003468838,0.00001548899,0.001477163],"genre_scores_gemma":[0.996713,0.00001334583,0.0001957921,0.001973104,0.0007782886,0.000271874,0.00001093329,0.00001593742,0.00002769676],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1815046,"threshold_uncertainty_score":0.5803698,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1227607133862361,"score_gpt":0.3852735217035368,"score_spread":0.2625128083173007,"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."}}