{"id":"W6958533489","doi":"10.6084/m9.figshare.c.3596849_d6","title":"Additional file 3: of A multilevel analysis to explain self-reported adverse health effects and adaptation to urban heat: a cross-sectional survey in the deprived areas of 9 Canadian cities","year":2016,"lang":"en","type":"article","venue":"Figshare","topic":"Climate Change and Health Impacts","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Bivariate analysis; Multilevel model; Adaptation (eye); Public health; Survey data collection","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002218647,0.00124984,0.001588659,0.003075782,0.002404266,0.001746822,0.00326639,0.0009282411,0.6875052],"category_scores_gemma":[0.03015069,0.000960578,0.002577765,0.005857228,0.00040331,0.001585284,0.001206595,0.001242613,0.0329682],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004297298,"about_ca_system_score_gemma":0.01104282,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6935228,"about_ca_topic_score_gemma":0.7347841,"domain_scores_codex":[0.9990619,0.0001586529,0.0001210651,0.0001611581,0.0002235425,0.000273624],"domain_scores_gemma":[0.983615,0.01046013,0.0007270047,0.001019078,0.003596015,0.0005828267],"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":[0.0002073943,0.000125358,0.03490641,0.001774533,0.0002526411,0.0001377258,0.0003453729,0.001151613,0.0000646559,0.0007328319,0.9522167,0.00808481],"study_design_scores_gemma":[0.005830678,0.0003686581,0.5735161,0.006024731,0.001480606,0.000689688,0.004852017,0.01120787,0.0007924142,0.006290443,0.3883583,0.0005884622],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.001006957,0.00001561097,0.0002329045,0.0000905578,0.00001971135,0.0001409631,0.9977371,0.0001246131,0.0006317002],"genre_scores_gemma":[0.06932182,0.0002570168,0.01085004,0.0006567885,0.0001059425,0.006145504,0.8934361,0.000940354,0.01828644],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6875052,"threshold_uncertainty_score":0.6165642,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1167232274861521,"score_gpt":0.3063398260488209,"score_spread":0.1896165985626687,"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."}}