{"id":"W3154030376","doi":"10.1016/j.envres.2021.111166","title":"Temperature and place associations with Inuit mental health in the context of climate change","year":2021,"lang":"en","type":"article","venue":"Environmental Research","topic":"Climate Change and Health Impacts","field":"Environmental Science","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"Government of Nunavut; Government of Newfoundland and Labrador; Memorial University of Newfoundland; University of Guelph; University of Alberta","funders":"Canadian Institutes of Health Research; Polar Knowledge Canada","keywords":"Mental health; Context (archaeology); Demography; Ecological study; Negative binomial distribution; Multilevel model; Medicine; Binomial regression; Community health; Rate ratio; Incidence (geometry); Public health; Environmental health; Geography; Gerontology; Logistic regression; Population; Psychiatry; Statistics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001225682,0.00009775955,0.0001599958,0.00004313278,0.000326853,0.00003196086,0.0001365895,0.00005576892,0.0008193349],"category_scores_gemma":[0.00002936761,0.00006974868,0.00001775534,0.0002966784,0.0002925284,0.0001606173,0.0002668876,0.0003689949,0.00006830009],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005569793,"about_ca_system_score_gemma":0.00002581607,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004766457,"about_ca_topic_score_gemma":0.00774595,"domain_scores_codex":[0.9980037,0.0003784726,0.0001842235,0.0002569589,0.0006397034,0.0005369377],"domain_scores_gemma":[0.9994165,0.0001766863,0.0000597647,0.000208401,0.000002699486,0.0001359482],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001777624,0.001124005,0.7475659,0.00009368239,0.00001293558,0.00006848718,0.1361933,0.000006196465,0.01080341,0.0001803621,0.005174907,0.09859913],"study_design_scores_gemma":[0.0008875799,0.000448288,0.9637337,0.0001023514,0.000002469833,0.00003566794,0.03021578,0.00003713563,0.0006538457,0.00008854074,0.003676347,0.00011835],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9799525,0.0007636438,4.523825e-8,0.01741449,0.00001619171,0.0005724329,0.0004072807,0.000003923241,0.0008695528],"genre_scores_gemma":[0.9904005,0.007264383,0.00004381993,0.001982769,0.00002788316,0.00005217653,0.000094319,0.00001191887,0.0001222358],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2161678,"threshold_uncertainty_score":0.8971142,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09434028418451172,"score_gpt":0.3807744380542961,"score_spread":0.2864341538697844,"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."}}