{"id":"W3160881857","doi":"10.3332/ecancer.2021.1229","title":"Differences in cancer incidence and pattern between urban and rural Nepal: one-year experience from two population-based cancer registries","year":2021,"lang":"en","type":"article","venue":"ecancermedicalscience","topic":"Global Cancer Incidence and Screening","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Ministry of Health and Population","keywords":"Medicine; Cancer; Cancer registry; Incidence (geometry); Rural area; Population; Demography; Cancer incidence; Demographics; Cancer prevention; Cervix; Environmental health; Pathology; Internal medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.004284781,0.0001903808,0.0003519029,0.001521087,0.0006038463,0.001165532,0.0007469623,0.0004935986,0.0006623906],"category_scores_gemma":[0.01113274,0.000329309,0.0004342334,0.003251496,0.0004432799,0.001195642,0.001644369,0.0005121398,0.0003783426],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006706326,"about_ca_system_score_gemma":0.00130626,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02280167,"about_ca_topic_score_gemma":0.02983178,"domain_scores_codex":[0.9970933,0.001244539,0.0004342934,0.0004109518,0.0005244312,0.0002924277],"domain_scores_gemma":[0.9928147,0.002165664,0.002382564,0.0007862056,0.00139887,0.0004520234],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005636871,0.00004434311,0.9896728,0.00006322702,0.00003762623,0.0002802584,0.003238633,0.00005435322,0.00008983365,0.00004031549,0.0004040354,0.006018225],"study_design_scores_gemma":[0.000006900174,0.00008982919,0.9928519,0.00003151124,0.00002669667,0.0007043802,0.004676601,0.0001364478,0.000111065,0.00002329502,0.001327268,0.00001401312],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9950998,0.000467878,0.0004835092,0.000267706,0.00000794229,0.0001007116,0.002386342,0.00001900098,0.001167039],"genre_scores_gemma":[0.99336,0.0009818112,0.0006196071,0.0001584305,0.000009830558,0.0001525947,0.004155625,0.00001061461,0.0005515721],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02280167,"threshold_uncertainty_score":0.04533792,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0767123884886184,"score_gpt":0.368605326920166,"score_spread":0.2918929384315476,"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."}}