{"id":"W1992819668","doi":"10.3402/ijch.v69i4.17667","title":"Introduction and population [2010–1]","year":2010,"lang":"en","type":"article","venue":"International Journal of Circumpolar Health","topic":"Global Public Health Policies and Epidemiology","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute for Circumpolar Health Research; Public Health Ontario; University of Toronto","funders":"Canadian Institutes of Health Research; Health Canada","keywords":"Circumpolar star; Health care; Population health; Population; Public health; Data science; Geography; Computer science; Medicine; Political science; Environmental health; Nursing","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001201446,0.0007907636,0.0005090388,0.002891568,0.0007901802,0.002033832,0.001435192,0.0009011998,0.105495],"category_scores_gemma":[0.003699381,0.0003344437,0.000617975,0.005467778,0.0002943627,0.001804647,0.00178081,0.001897358,0.0466691],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002277271,"about_ca_system_score_gemma":0.00360462,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06040921,"about_ca_topic_score_gemma":0.04943982,"domain_scores_codex":[0.9985098,0.0002425968,0.0001500057,0.0003271041,0.0005705248,0.0001999463],"domain_scores_gemma":[0.9988267,0.0000943104,0.0001431177,0.00009362726,0.0006809823,0.0001612938],"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":[0.0000897752,0.00005443143,0.008897974,0.0006408053,0.00005046226,0.0000613595,0.0003102091,0.0002046159,0.000207206,0.01132127,0.8914849,0.08667705],"study_design_scores_gemma":[0.00001133733,0.00002506869,0.0251695,0.0001843892,0.00001220105,0.00007848904,0.0001815821,0.0001403333,0.0001031208,0.0006957375,0.9733844,0.0000137788],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.008087418,0.005850799,0.002895609,0.007406414,0.004656885,0.0005029076,0.7442015,0.001002801,0.2253956],"genre_scores_gemma":[0.05465502,0.009550335,0.008270948,0.007581986,0.001663485,0.00182429,0.6672578,0.0006979968,0.2484982],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.105495,"threshold_uncertainty_score":0.3529158,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01679964716710412,"score_gpt":0.3107819585427744,"score_spread":0.2939823113756702,"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."}}