{"id":"W1990015486","doi":"10.1002/cam4.184","title":"Access, excess, and overdiagnosis: the case for thyroid cancer","year":2014,"lang":"en","type":"article","venue":"Cancer Medicine","topic":"Thyroid Cancer Diagnosis and Treatment","field":"Medicine","cited_by":63,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Queen's University","funders":"Canadian Institutes of Health Research; Queen's University; University of Toronto; Ontario Ministry of Health and Long-Term Care; Cancer Care Ontario","keywords":"Overdiagnosis; Medicine; Thyroid cancer; Population; Medical diagnosis; Thyroid; Papillary thyroid cancer; Cancer; Incidence (geometry); Radiology; Internal medicine; Environmental health","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002959532,0.0002670415,0.0005304022,0.00006544245,0.000250568,0.00003350214,0.0001430514,0.00007967751,0.000426636],"category_scores_gemma":[0.0001563945,0.0001458716,0.00008275101,0.000203425,0.0003161795,0.0001127431,0.00005223563,0.0001587693,0.00000276192],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001896661,"about_ca_system_score_gemma":0.0001406999,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004523424,"about_ca_topic_score_gemma":0.001943281,"domain_scores_codex":[0.9986213,0.00003877759,0.0003005635,0.000454323,0.0002208014,0.0003641732],"domain_scores_gemma":[0.9985421,0.0004579668,0.0001451804,0.0004397096,0.0001580927,0.0002569196],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005726896,0.0002456895,0.1368079,0.000917828,0.0007952427,0.0002981038,0.001307165,0.00003217491,0.001030217,0.003606531,0.5274553,0.3269311],"study_design_scores_gemma":[0.01707669,0.001968899,0.1169909,0.001979415,0.003003176,0.0008567425,0.0006395909,0.0004925577,0.004530856,0.001624223,0.8503385,0.0004985215],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5479126,0.2179389,0.0006208514,0.2247958,0.002126608,0.002880596,0.0001688041,0.0001542167,0.00340166],"genre_scores_gemma":[0.9519192,0.02823381,0.00004708596,0.01270776,0.002902692,0.003658704,0.00001743292,0.00004567145,0.0004676745],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4040066,"threshold_uncertainty_score":0.6838095,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03932985360487812,"score_gpt":0.3719088245707993,"score_spread":0.3325789709659212,"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."}}