{"id":"W7162023441","doi":"10.82308/38489","title":"Energy poverty: understanding its impact on hospitalization among Canadian adults aged 40 and older","year":2023,"lang":"en","type":"dissertation","venue":"","topic":"Energy and Environment Impacts","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Multinomial logistic regression; Poverty; Relative risk; Energy poverty; Cardiorespiratory fitness; Energy (signal processing); Cohort","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001077569,0.0005098332,0.0005763472,0.002786059,0.002786229,0.001735342,0.001274979,0.0007299655,0.002938469],"category_scores_gemma":[0.004969412,0.0003031477,0.001531317,0.005793596,0.0006022577,0.0009809849,0.001829279,0.001304153,0.0002753941],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02113603,"about_ca_system_score_gemma":0.03786686,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9904035,"about_ca_topic_score_gemma":0.9921468,"domain_scores_codex":[0.9987403,0.00009477548,0.0000671536,0.0001279137,0.0003907277,0.0005791341],"domain_scores_gemma":[0.9980692,0.0001783508,0.0004299445,0.00005395374,0.0008344004,0.0004340941],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005788285,0.00004356819,0.9738058,0.0001999999,0.0001343775,0.00007644756,0.001159668,0.0003051235,0.00004308496,0.0007123003,0.006179146,0.01728255],"study_design_scores_gemma":[0.000003614784,0.00001095038,0.9947394,0.0002704497,0.00007275225,0.00003977699,0.001833995,0.0003611863,0.00001417048,0.0002054912,0.002434157,0.00001407816],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9085454,0.02309214,0.0004600603,0.01533933,0.0001686295,0.0001289437,0.03226868,0.00002960721,0.01996712],"genre_scores_gemma":[0.982119,0.01061234,0.0003676296,0.0006044433,0.00006496778,0.0000522107,0.005326621,0.000007333291,0.0008454617],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02113603,"threshold_uncertainty_score":0.1533533,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009230591487336983,"score_gpt":0.2215253867081114,"score_spread":0.2122947952207744,"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."}}