{"id":"W4303628986","doi":"10.3390/curroncol29100588","title":"Time Trend of Upper Gastrointestinal Cancer Incidence in China from 1990 to 2019 and Analysis Using an Age–Period–Cohort Model","year":2022,"lang":"en","type":"article","venue":"Current Oncology","topic":"Colorectal Cancer Screening and Detection","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Incidence (geometry); Cohort; China; Period (music); Demography; Cancer incidence; Cohort effect; Cohort study; Gastrointestinal cancer; Cancer; Internal medicine; Colorectal cancer; Geography","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":[0.005562592,0.0008804196,0.0009929026,0.002324999,0.0005187515,0.001091997,0.001795482,0.001018629,0.003613356],"category_scores_gemma":[0.006199303,0.0006034669,0.004478029,0.002072486,0.0003848989,0.0006594182,0.001079018,0.001489224,0.0004895679],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000986652,"about_ca_system_score_gemma":0.002758985,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07605134,"about_ca_topic_score_gemma":0.02328895,"domain_scores_codex":[0.998336,0.0004733817,0.0001376311,0.0005694504,0.0001705907,0.0003130125],"domain_scores_gemma":[0.9976949,0.0007652926,0.000440587,0.000352046,0.0004646699,0.0002825647],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001015666,0.0001718518,0.9447034,0.0002222373,0.002879233,0.0006459971,0.0003551618,0.03108863,0.0004808739,0.002279685,0.002656048,0.01350118],"study_design_scores_gemma":[0.0003564009,0.0007518198,0.586926,0.0001160048,0.003699901,0.0006159139,0.000351271,0.398912,0.0003072358,0.001650113,0.006234075,0.00007923012],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9728227,0.002118235,0.01481685,0.0009576553,0.0002527929,0.0003564163,0.007083424,0.0002262242,0.001365831],"genre_scores_gemma":[0.9857616,0.0007567915,0.003615624,0.0001191517,0.00008139318,0.0004116835,0.005986591,0.00002908336,0.003237932],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07605134,"threshold_uncertainty_score":0.1512174,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05900988720747092,"score_gpt":0.3799506121980696,"score_spread":0.3209407249905987,"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."}}