{"id":"W2972111131","doi":"10.1007/s10549-019-05418-2","title":"Analysis of incidence, mortality trends, and geographic distribution of breast cancer patients in Canada","year":2019,"lang":"en","type":"article","venue":"Breast Cancer Research and Treatment","topic":"Global Cancer Incidence and Screening","field":"Medicine","cited_by":32,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa; McGill University","funders":"Fonds de Recherche du Québec - Santé; Social Sciences and Humanities Research Council of Canada; Canadian Dermatology Foundation","keywords":"Breast cancer; Incidence (geometry); Demography; Medicine; Distribution (mathematics); Oncology; Cancer; Gynecology; Internal medicine","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003536106,0.0002300869,0.0003485951,0.002826626,0.001310073,0.0009284958,0.0009011921,0.0003282042,0.002472997],"category_scores_gemma":[0.002113043,0.0002835274,0.0007962252,0.008188293,0.0003735183,0.0002529675,0.0005461629,0.0005456213,0.0002317556],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01627383,"about_ca_system_score_gemma":0.02022093,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9887499,"about_ca_topic_score_gemma":0.9912948,"domain_scores_codex":[0.9992847,0.00005969334,0.00006811422,0.00009228536,0.0002269037,0.0002682756],"domain_scores_gemma":[0.9981187,0.0001494466,0.0002837129,0.00005451501,0.001022722,0.0003709574],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001201939,0.00001528347,0.9945532,0.00002314935,0.00006140758,0.00004955143,0.0001302444,0.0002153752,0.0000902356,0.00007459948,0.0007814913,0.003885092],"study_design_scores_gemma":[0.000005988701,0.00001560567,0.9982474,0.00001145052,0.00003586955,0.00006414435,0.0005244481,0.0004137077,0.000049374,0.00001543096,0.0006116775,0.00000492711],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9833696,0.001094858,0.0001372338,0.0003251778,0.000008903115,0.00003297071,0.01261041,0.00002390481,0.002396969],"genre_scores_gemma":[0.9935529,0.0007434426,0.0001569592,0.00007243128,0.000005821773,0.00001232463,0.004640016,0.000008349164,0.0008078243],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01627383,"threshold_uncertainty_score":0.1180755,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04875154761614291,"score_gpt":0.3703935749754942,"score_spread":0.3216420273593513,"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."}}