{"id":"W4210354629","doi":"10.1002/ijc.33957","title":"Correlation between cumulative mammographic density and age‐specific incidence of breast cancer: A biethnic study in Israel","year":2022,"lang":"en","type":"article","venue":"International Journal of Cancer","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre","funders":"","keywords":"Breast cancer; Medicine; Incidence (geometry); Cumulative incidence; Demography; Population; Cancer registry; MAMMOGRAPHIC DENSITY; Gynecology; Mammography; Cancer; Cohort; Internal medicine; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.0005048985,0.0001481077,0.0001606193,0.0004539683,0.0002786979,0.0004062461,0.0001582887,0.0002507233,0.0007110473],"category_scores_gemma":[0.0008886021,0.000164622,0.0001590145,0.000332767,0.0001634186,0.0002083149,0.0003011536,0.0002198391,0.0001671077],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001783876,"about_ca_system_score_gemma":0.0001727408,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006499437,"about_ca_topic_score_gemma":0.007502666,"domain_scores_codex":[0.9998154,0.00006785182,0.0000174858,0.00003433933,0.0000383008,0.00002665583],"domain_scores_gemma":[0.999694,0.00006126866,0.00006827574,0.00002685899,0.00006297502,0.00008671503],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003938508,0.00002601906,0.9988284,0.000001341984,0.00002633491,0.00002520409,0.0001518942,0.00001012852,0.0002669905,0.000008408349,0.00002731944,0.0005887169],"study_design_scores_gemma":[0.000003722233,0.00003692709,0.9993477,0.000002054613,0.00001076999,0.0001229345,0.0002312069,0.0001028724,0.00003648981,0.000008717574,0.00009503738,0.000001415981],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996922,0.0000297243,0.00003069855,0.00001278998,8.115766e-7,0.000002503864,0.00003528374,5.374317e-7,0.0001953874],"genre_scores_gemma":[0.9997069,0.00003598773,0.00003104502,0.00001173235,0.000003038331,0.00000360646,0.0000982084,6.647178e-7,0.000108809],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006499437,"threshold_uncertainty_score":0.01292324,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02119919674200337,"score_gpt":0.3319571659620752,"score_spread":0.3107579692200718,"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."}}