{"id":"W4400199396","doi":"10.3390/cancers16132418","title":"The Prospective Association between Early Life Growth and Breast Density in Young Adult Women","year":2024,"lang":"en","type":"article","venue":"Cancers","topic":"Digital Radiography and Breast Imaging","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University Health Network","funders":"Cancer Australia; National Breast Cancer Foundation","keywords":"Breast cancer; Body mass index; Medicine; Confounding; Prospective cohort study; Cohort study; Breast density; Demography; Young adult; Anthropometry; Internal medicine; Mammography; Cancer","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001472517,0.00006862821,0.0001142021,0.00006719505,0.00005521016,0.0001116689,0.00003007467,0.00003248092,0.000001674816],"category_scores_gemma":[0.00008878238,0.00004980146,0.00003286501,0.0003295911,0.00005211331,0.0001758993,0.00001344761,0.0001589926,0.000003316128],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0011627,"about_ca_system_score_gemma":0.0001904743,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008911818,"about_ca_topic_score_gemma":0.0001151191,"domain_scores_codex":[0.9993935,0.00001326676,0.00009312076,0.000151565,0.0001455603,0.0002029765],"domain_scores_gemma":[0.9996936,0.00007765027,0.00002404267,0.00005539499,0.00005553265,0.00009380808],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004794833,0.000002494115,0.9892932,0.00003891863,0.0001269074,0.00000925579,0.001596769,2.029154e-7,0.00003377616,0.0004576244,0.0001687407,0.008224204],"study_design_scores_gemma":[0.0003177976,0.00004472634,0.9978464,0.0001295301,0.00003332197,0.00001917498,0.0005206738,0.00004287449,0.00005734079,0.0008903808,0.00003995276,0.0000578504],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9920877,0.0003033364,0.000009836717,0.001293905,0.0001191304,0.000158291,0.00002159579,0.00004871431,0.005957539],"genre_scores_gemma":[0.9993746,0.00007132306,0.00000583758,0.00009568965,0.0001907451,0.00002650304,0.000002608736,0.000008879255,0.0002238104],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008553217,"threshold_uncertainty_score":0.3040421,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003950188709352103,"score_gpt":0.2190542867811761,"score_spread":0.215104098071824,"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."}}