{"id":"W2887675525","doi":"10.1016/j.buildenv.2018.08.024","title":"Thermal comfort in multi-unit social housing buildings","year":2018,"lang":"en","type":"article","venue":"Building and Environment","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":43,"is_retracted":false,"has_abstract":false,"ca_institutions":"Public Health Ontario; University of Toronto","funders":"Natural Resources Canada","keywords":"Thermal comfort; Environmental science; Extreme heat; Winter season; Unit (ring theory); Heat wave; Environmental health; Architectural engineering; Meteorology; Climate change; Geography; Medicine; Engineering; Psychology; Climatology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002479044,0.0004284777,0.0004511627,0.0002742279,0.0003032875,0.0006191863,0.0004809377,0.0003642913,0.001930917],"category_scores_gemma":[0.0006134517,0.0002093299,0.0003875938,0.0003685675,0.0003524614,0.0004880929,0.0007076433,0.0001808797,0.00008190675],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004518007,"about_ca_system_score_gemma":0.0002163117,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007444708,"about_ca_topic_score_gemma":0.01323096,"domain_scores_codex":[0.9998199,0.00006362117,0.000004667914,0.00002496126,0.00002720479,0.00005971352],"domain_scores_gemma":[0.999838,0.00008660205,0.0000190476,0.00001107498,0.00001801493,0.00002725413],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0002372534,0.0001046811,0.01019368,0.000048987,0.0000814343,0.0002023858,0.0001038232,0.9685868,0.004183873,0.00328249,0.0003535001,0.01262107],"study_design_scores_gemma":[0.000004786514,0.0000676706,0.006909297,0.000003240812,0.00001609422,0.00003963064,0.0001672967,0.9903538,0.0005678108,0.001673077,0.0001909532,0.000006279753],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9609685,0.0003360045,0.03500136,0.00009649171,0.00002279411,0.00001043586,0.00006385381,0.00002183346,0.003478718],"genre_scores_gemma":[0.9986168,0.00002750696,0.0007560593,0.000002829504,0.000004712093,0.000004042678,0.00001465911,0.000004363987,0.0005690505],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007444708,"threshold_uncertainty_score":0.01480275,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01696096548804337,"score_gpt":0.2128063717773305,"score_spread":0.1958454062892871,"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."}}