{"id":"W3207807347","doi":"10.32113/wcrj_20194_1257","title":"GLOBAL CANCER STATISTICS 2018: GLOBOCAN ESTIMATES OF INCIDENCE AND MORTALITY WORLDWIDE STOMACH CANCERS AND THEIR RELATIONSHIP WITH THE HUMAN DEVELOPMENT INDEX (HDI)","year":2019,"lang":"en","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Colorectal Cancer Screening and Detection","field":"Medicine","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Cancer; Human Development Index; Incidence (geometry); Index (typography); Cancer incidence; Statistics; Stomach cancer; Human stomach; Demography; Biology; Oncology; Medicine; Stomach; Internal medicine; Mathematics; Human development (humanity); Computer science","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":[0.003378662,0.001059266,0.0009822967,0.01018723,0.0003618456,0.001114691,0.0009398024,0.0003809752,0.005276146],"category_scores_gemma":[0.008004778,0.0002821497,0.001089775,0.01682737,0.0003410135,0.0009178635,0.001643211,0.001302538,0.002221982],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003392251,"about_ca_system_score_gemma":0.00524275,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06420176,"about_ca_topic_score_gemma":0.04356332,"domain_scores_codex":[0.9978303,0.0004905547,0.0003785637,0.0002029322,0.000896577,0.0002010778],"domain_scores_gemma":[0.9931161,0.0005988167,0.001733429,0.0002285174,0.003974343,0.0003488208],"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":[0.0002774408,0.00007760881,0.3464679,0.004490015,0.0006061927,0.0001567243,0.0004663181,0.002360022,0.0003818819,0.003353035,0.5587854,0.08257746],"study_design_scores_gemma":[0.00008126036,0.0001147593,0.5378385,0.001402233,0.0003419641,0.0002906077,0.0008326474,0.001539359,0.0004430025,0.001540599,0.4555187,0.00005645072],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.02358797,0.01380717,0.003371243,0.003463535,0.0009995719,0.0007926805,0.9335617,0.0009206627,0.01949547],"genre_scores_gemma":[0.1354391,0.01465776,0.009973656,0.001074089,0.0006373037,0.002960687,0.8276718,0.0002630967,0.007322544],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06420176,"threshold_uncertainty_score":0.1276562,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1553481803820139,"score_gpt":0.5118692100239293,"score_spread":0.3565210296419153,"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."}}