{"id":"W1984329062","doi":"10.1158/1055-9965.epi-14-0796","title":"Temporal Trends in Thyroid Cancer Incidence in California—Letter","year":2014,"lang":"en","type":"letter","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Global Cancer Incidence and Screening","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Cancer Care Ontario; University Health Network","funders":"","keywords":"Demography; Poisson regression; Confidence interval; Incidence (geometry); Poisson distribution; Medicine; Thyroid cancer; Percentile; Rate ratio; Statistics; Interquartile range; Geography; Cancer; Mathematics; Population; Internal medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001396017,0.0002076406,0.0003399981,0.0008414701,0.001071119,0.001377007,0.0008340405,0.002842775,0.003347164],"category_scores_gemma":[0.007014937,0.0003208606,0.0003277408,0.0008393039,0.0006631027,0.0009580138,0.0004563879,0.003133389,0.001475223],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004617192,"about_ca_system_score_gemma":0.001864852,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.138414,"about_ca_topic_score_gemma":0.163129,"domain_scores_codex":[0.9990513,0.0001180403,0.0001425308,0.0002172991,0.0003759141,0.00009492098],"domain_scores_gemma":[0.9948677,0.001420601,0.0006232568,0.0001743175,0.002444302,0.0004699087],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0001861627,0.0000879528,0.08256686,0.0002904474,0.00008764125,0.0007825483,0.0004961042,0.000143626,0.0004114816,0.0005083117,0.8691206,0.0453183],"study_design_scores_gemma":[0.0001305802,0.0002275456,0.2532291,0.001068559,0.0001800212,0.004747508,0.002331067,0.001642852,0.000751973,0.001257571,0.7342739,0.0001592828],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.05827068,0.01517965,0.000487125,0.8851588,0.01834707,0.00004849344,0.005793881,0.0003396601,0.01637476],"genre_scores_gemma":[0.335864,0.01547454,0.001611723,0.5840943,0.04320047,0.0001342344,0.00370995,0.0001432652,0.01576735],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.138414,"threshold_uncertainty_score":0.2752168,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1363016456156794,"score_gpt":0.4206141272136933,"score_spread":0.284312481598014,"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."}}