{"id":"W4387526456","doi":"10.1371/journal.pone.0291303","title":"Estimating climate change and mental health impacts in Canada: A cross-sectional survey protocol","year":2023,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Climate Change Communication and Perception","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland; University of Alberta","funders":"Social Sciences and Humanities Research Council of Canada; Canadian Institutes of Health Research; Alberta Innovates; Killam Trusts; Alberta Innovates - Health Solutions; ArcticNet","keywords":"Psychosocial; Mental health; Climate change; Cross-sectional study; Population; Descriptive statistics; Stratified sampling; Environmental health; Medicine; Psychology; Geography; Demography; Statistics; Psychiatry; Ecology","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":[0.001495155,0.00005491371,0.0001067715,0.00006473604,0.00051064,0.00006781366,0.00009159801,0.00002996922,0.0001951311],"category_scores_gemma":[0.0001859629,0.0000599699,0.00000811873,0.0003256801,0.00005121807,0.0001448659,0.00007358987,0.00009084798,0.00002149736],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006757187,"about_ca_system_score_gemma":0.0003553471,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9256559,"about_ca_topic_score_gemma":0.9967443,"domain_scores_codex":[0.9988441,0.000265616,0.0001798406,0.0001227153,0.0003014847,0.0002861765],"domain_scores_gemma":[0.999571,0.0001031781,0.00008045724,0.00009173316,0.00004397382,0.0001096255],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001412768,0.00006623143,0.9915752,0.00007960351,0.000002922806,3.052839e-7,0.00720824,7.903964e-7,0.00004532052,0.00002946124,0.00006897307,0.0009087601],"study_design_scores_gemma":[0.0002477995,0.00001755912,0.996442,0.00008841934,3.464881e-7,1.600441e-7,0.0007411615,0.002278269,0.000002426085,0.00002033016,0.0001016223,0.0000599491],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9845135,0.00001023869,1.809085e-7,0.002277035,0.00004282689,0.01245933,0.0001552323,0.00005410729,0.0004875338],"genre_scores_gemma":[0.9837095,0.0004856694,0.0002029072,0.0004002691,0.0001410677,0.01477409,0.0002229775,0.00001126571,0.00005231619],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0710884,"threshold_uncertainty_score":0.3927481,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6814302069351575,"score_gpt":0.4937862499647031,"score_spread":0.1876439569704545,"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."}}