{"id":"W4286224310","doi":"10.1097/med.0000000000000756","title":"Women and thyroid cancer incidence: overdiagnosis versus biological risk","year":2022,"lang":"en","type":"article","venue":"Current Opinion in Endocrinology Diabetes and Obesity","topic":"Thyroid Cancer Diagnosis and Treatment","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto General Hospital; University Health Network; Women's College Hospital; University of Toronto","funders":"","keywords":"Overdiagnosis; Thyroid cancer; Medicine; Context (archaeology); Cancer; Incidence (geometry); Epidemiology; Disease; Thyroid; Internal medicine; Oncology; Demography; Gynecology; Biology","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":[0.0001236076,0.0001908958,0.0004027253,0.000127822,0.0002526348,0.00001287662,0.00007739849,0.0000486735,0.0002296621],"category_scores_gemma":[0.00008076198,0.000163224,0.00005322374,0.0001675819,0.0001779572,0.00005173176,0.0003897351,0.0004263947,0.000003107747],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003352356,"about_ca_system_score_gemma":0.00006506373,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001226681,"about_ca_topic_score_gemma":0.00001060736,"domain_scores_codex":[0.9984774,0.0001543531,0.0002200056,0.0004846222,0.0001447721,0.0005188314],"domain_scores_gemma":[0.9992453,0.000271874,0.00009571799,0.0001743562,0.00002249383,0.0001902131],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002031974,0.0004830537,0.964839,0.00007403027,0.00007061238,0.000004883142,0.0004420887,0.000008103138,0.00001929638,0.0002926811,0.001238743,0.03232429],"study_design_scores_gemma":[0.004622677,0.001898312,0.971577,0.00005492267,0.00002665131,0.000006966259,0.0004707006,0.00004485876,0.00007339674,0.0004429763,0.02060733,0.0001742161],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9041464,0.09283514,4.472251e-7,0.0004987249,0.002018543,0.0003236347,0.0001165392,0.00003648032,0.00002409106],"genre_scores_gemma":[0.8738514,0.1247455,0.00001431375,0.00009846866,0.00012653,0.001112585,0.00003736375,0.000008375639,0.000005503116],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03215008,"threshold_uncertainty_score":0.6656081,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04326941412126321,"score_gpt":0.325096188936478,"score_spread":0.2818267748152148,"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."}}