{"id":"W6980577564","doi":"","title":"Climate change-related health inequalities in Canada: How hot temperatures affect vulnerable groups","year":2022,"lang":"en","type":"article","venue":"Scholarship@Western (Western University)","topic":"Names, Identity, and Discrimination Research","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Affect (linguistics); Inequality; Climate change; Population; Ectotherm; Work (physics)","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":[0.0005775487,0.0003206026,0.0005036492,0.001184638,0.008862434,0.00388353,0.001736842,0.00140887,0.006975693],"category_scores_gemma":[0.002981931,0.0003525651,0.001092836,0.004595994,0.002020885,0.001256756,0.002518395,0.002408216,0.0003310305],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04668683,"about_ca_system_score_gemma":0.07984505,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9974495,"about_ca_topic_score_gemma":0.9986796,"domain_scores_codex":[0.9983281,0.0001285088,0.0000372981,0.0001538662,0.0002446033,0.001107693],"domain_scores_gemma":[0.9979268,0.0001413496,0.0002670254,0.00005633894,0.000622524,0.0009858862],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000358924,0.0003598855,0.935103,0.0001145605,0.0003140917,0.0002464523,0.01861283,0.0007177984,0.0003611073,0.006181708,0.01165616,0.02597344],"study_design_scores_gemma":[0.00002169131,0.00002841415,0.9662752,0.0001464643,0.000112183,0.00003737553,0.02557421,0.0005245398,0.00008022085,0.001168999,0.005978349,0.0000522692],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9728093,0.002206982,0.0001692264,0.009926287,0.0001389289,0.00004253472,0.00227952,0.00001321281,0.01241398],"genre_scores_gemma":[0.9962186,0.0009820778,0.00007116733,0.0005089671,0.00001782806,0.00001239272,0.0004164624,0.000009311738,0.001763231],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04668683,"threshold_uncertainty_score":0.3387382,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1593284455738638,"score_gpt":0.3659447946318726,"score_spread":0.2066163490580089,"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."}}