{"id":"W2025982391","doi":"10.1002/cncr.23674","title":"Hip bone density predicts breast cancer risk independently of Gail score","year":2008,"lang":"en","type":"article","venue":"Cancer","topic":"Bone health and osteoporosis research","field":"Medicine","cited_by":80,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hatch (Canada)","funders":"National Institute of Arthritis and Musculoskeletal and Skin Diseases","keywords":"Medicine; Breast cancer; Confidence interval; Bone mineral; Proportional hazards model; Hazard ratio; Internal medicine; Gynecology; Cancer; Population; Prospective cohort study; Osteoporosis; Obstetrics","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002203265,0.000144148,0.0004135824,0.000110358,0.0001443406,0.000004095442,0.00009121413,0.000157254,0.001290527],"category_scores_gemma":[0.00007620033,0.0001204817,0.00009199433,0.0002971091,0.0002295538,0.00007347599,0.00005922996,0.0004882477,0.00003505503],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002780624,"about_ca_system_score_gemma":0.001495493,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0131209,"about_ca_topic_score_gemma":0.001340622,"domain_scores_codex":[0.9981848,0.00005458419,0.0003226776,0.0003017428,0.0006668408,0.0004693778],"domain_scores_gemma":[0.9985436,0.00003933027,0.0001531176,0.0003549599,0.0004339899,0.0004750127],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000813867,0.000118072,0.9563686,0.0003634926,0.00005295532,0.00009266152,0.000347036,0.000008975206,0.001889776,0.000005626587,0.02144576,0.01849317],"study_design_scores_gemma":[0.00226998,0.000127878,0.9878381,0.0002889101,0.00006732858,0.0002067137,0.00004657396,0.00008147926,0.006124905,0.0000151916,0.002828128,0.0001047476],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.989745,0.006854275,0.000009873546,0.001554164,0.0002829452,0.0004627173,0.0002813559,0.00004230465,0.0007673828],"genre_scores_gemma":[0.9852321,0.01089344,0.00004470867,0.0009105766,0.000455023,0.00009507633,0.00001313242,0.00002751,0.002328453],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03146956,"threshold_uncertainty_score":0.9996224,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04169186156069662,"score_gpt":0.3287606834584991,"score_spread":0.2870688218978025,"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."}}