{"id":"W7099456712","doi":"","title":"Data sources Data are from the Canadian Cancer Registry, the National Cancer Incidence Reporting System, the Canadian Mortality Data Base, and life tables.","year":2016,"lang":"en","type":"article","venue":"","topic":"Computational Geometry and Mesh Generation","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Cancer incidence; Cancer; Incidence (geometry); Data source; Epidemiology; MEDLINE; Cancer registry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004727113,0.001808801,0.002707222,0.02460804,0.003096485,0.00278381,0.006700851,0.001147497,0.06832052],"category_scores_gemma":[0.04733386,0.001057279,0.001762474,0.04038849,0.0009356653,0.001122635,0.002272353,0.002657573,0.01449151],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03238897,"about_ca_system_score_gemma":0.09965616,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9726327,"about_ca_topic_score_gemma":0.9791268,"domain_scores_codex":[0.9884526,0.0007217982,0.00169065,0.0008095124,0.007298178,0.001027162],"domain_scores_gemma":[0.9414629,0.004365297,0.003018601,0.002452774,0.04663834,0.002062058],"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":[0.0001525867,0.00005640209,0.01227513,0.002484286,0.0001379164,0.0001140589,0.0001805604,0.001356218,0.00006626077,0.002298857,0.9545039,0.02637383],"study_design_scores_gemma":[0.0003127097,0.00003100343,0.05642728,0.002936617,0.0003126866,0.0001939116,0.0009006729,0.00119268,0.0004389244,0.003076667,0.9339977,0.0001792238],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0006714107,0.0004723826,0.0004661736,0.0004256586,0.00009255028,0.000487912,0.9918466,0.0001064963,0.005430865],"genre_scores_gemma":[0.01071826,0.00255045,0.004914434,0.0007267227,0.0001076802,0.002675119,0.9703361,0.0002157289,0.007755465],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9316795,"threshold_uncertainty_score":0.2349995,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.231383193862354,"score_gpt":0.3521293219789804,"score_spread":0.1207461281166265,"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."}}