{"id":"W2531712451","doi":"10.15562/tcp.22","title":"Under-estimation and Over-estimation in Gastric Cancer Incidence Registry in Khorasan Provinces, Iran","year":2016,"lang":"en","type":"article","venue":"The Cancer Press","topic":"Liver Disease Diagnosis and Treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Estimation; Cancer registry; Cancer incidence; Incidence (geometry); Cancer; Medicine; Geography; Environmental health; Demography; Statistics; Mathematics; Internal medicine; Sociology; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008811959,0.0003789851,0.0005185906,0.002727114,0.0006038216,0.001112683,0.00131307,0.0003432845,0.000787149],"category_scores_gemma":[0.01903781,0.0004789766,0.0007354883,0.00451976,0.0005309512,0.0009376559,0.00103301,0.0005380892,0.0001748063],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001500183,"about_ca_system_score_gemma":0.004834934,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1152355,"about_ca_topic_score_gemma":0.1173584,"domain_scores_codex":[0.9906135,0.003856983,0.001788742,0.001158749,0.001600325,0.0009817159],"domain_scores_gemma":[0.9854299,0.004420559,0.003979469,0.001709118,0.003935556,0.0005253289],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002280739,0.00001253016,0.9964808,0.0000286692,0.00005805716,0.00003561807,0.0002146067,0.0000771676,0.00003350066,0.00004088963,0.0003407809,0.00265451],"study_design_scores_gemma":[0.000006408815,0.00003082848,0.9958735,0.00003151138,0.0001514261,0.0001486537,0.001469253,0.0008306637,0.0001575495,0.00006780891,0.001223723,0.000008583847],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9943047,0.0008114047,0.0007047845,0.0005310108,0.00004385766,0.00005204129,0.002804158,0.00002730952,0.0007206665],"genre_scores_gemma":[0.9968941,0.000352396,0.0005724296,0.0001333512,0.00002863972,0.0000391092,0.001754246,0.000009758484,0.0002158882],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1152355,"threshold_uncertainty_score":0.2291296,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02898332437268616,"score_gpt":0.317418206054256,"score_spread":0.2884348816815698,"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."}}