{"id":"W2364836212","doi":"10.4158/ep151042.lt","title":"Thyroid Cancer Incidence and Endocrinologist Access: A Regional Data Analysis from Ontario, Canada","year":2016,"lang":"en","type":"article","venue":"Endocrine Practice","topic":"Global Cancer Incidence and Screening","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Cancer Care Ontario; Public Health Ontario; University of Toronto; Toronto General Hospital","funders":"","keywords":"Medicine; Thyroid cancer; Population; Incidence (geometry); Cancer; Family medicine; Cancer registry; Health care; Demography; Gerontology; Internal medicine; Environmental health; Economic growth","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":[0.001112472,0.0006361312,0.001088012,0.004097273,0.002763929,0.00228467,0.002023375,0.0006651015,0.003188784],"category_scores_gemma":[0.004850965,0.0008627993,0.002111146,0.01954085,0.0008715325,0.0007557772,0.001646376,0.0009777555,0.0005381777],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05421743,"about_ca_system_score_gemma":0.07397405,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9986726,"about_ca_topic_score_gemma":0.9992636,"domain_scores_codex":[0.9973752,0.0001850108,0.0003104784,0.0003631515,0.0009624874,0.0008036662],"domain_scores_gemma":[0.9925998,0.0004871788,0.00138906,0.0002355515,0.00397062,0.001317787],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002061688,0.00003719575,0.9880557,0.0002005859,0.0003363319,0.0001745329,0.001019683,0.0005041481,0.0001259125,0.0001758882,0.005248006,0.003915791],"study_design_scores_gemma":[0.00003024279,0.00002472347,0.9955973,0.00008964139,0.00015915,0.00007953414,0.001342854,0.000345921,0.00005903186,0.00001893743,0.002229185,0.00002358174],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8866184,0.002984669,0.0003276506,0.001056921,0.00003054073,0.0001999931,0.1020257,0.00006515224,0.006690874],"genre_scores_gemma":[0.9681314,0.001965898,0.0006465139,0.0003673927,0.0000196477,0.0001032142,0.02521968,0.00004394346,0.003502299],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05421743,"threshold_uncertainty_score":0.3933768,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1414091247643217,"score_gpt":0.4047521093211233,"score_spread":0.2633429845568015,"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."}}