{"id":"W2338325819","doi":"10.1158/1538-7755.disp15-c18","title":"Abstract C18: The burden of cancer in indigenous people globally and the World Indigenous Cancer Conference 2016 (WICC16)","year":2016,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Global Cancer Incidence and Screening","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Indigenous; Population; Cancer; Public health; Medicine; Demography; Gerontology; Environmental health; Sociology; Pathology; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"systematic_review","genre":"review","about_ca_system":false,"about_ca_topic":true,"confidence":"high","status":"direct model label, unvalidated"},{"model":"gpt","categories":[],"domain":null,"study_design":"design_other","genre":"review","about_ca_system":false,"about_ca_topic":true,"confidence":"high","status":"direct model label, unvalidated"}],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003493923,0.0007233005,0.0005799709,0.003063303,0.001923525,0.002853454,0.001208527,0.001389079,0.02805398],"category_scores_gemma":[0.006085552,0.0003445014,0.00120907,0.004263904,0.0007905482,0.001489623,0.005083704,0.002429783,0.004225835],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005394079,"about_ca_system_score_gemma":0.02081815,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1855658,"about_ca_topic_score_gemma":0.1326634,"domain_scores_codex":[0.9985737,0.0001868422,0.0001380857,0.0001296928,0.0005861391,0.0003856136],"domain_scores_gemma":[0.9951589,0.000235366,0.0005116703,0.0001494231,0.002195842,0.001748862],"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":[0.0001369755,0.00008085895,0.04275445,0.0046471,0.0001154922,0.0002632221,0.001733538,0.0003553717,0.0006600557,0.003083591,0.7554688,0.1907005],"study_design_scores_gemma":[0.00003024751,0.0001393462,0.1899174,0.007312389,0.0001512757,0.0004616598,0.003122738,0.0002607525,0.0005511493,0.001518702,0.796451,0.00008331083],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.07805366,0.1950983,0.002508481,0.2853808,0.05039997,0.002161948,0.1580831,0.001322527,0.2269912],"genre_scores_gemma":[0.3315315,0.2726811,0.008880308,0.0245023,0.02601883,0.002926923,0.1687806,0.0008175627,0.163861],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1855658,"threshold_uncertainty_score":0.3689713,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0655389428028106,"score_gpt":0.3919928452943596,"score_spread":0.326453902491549,"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."}}