{"id":"W4391094070","doi":"10.1109/bigdata59044.2023.10386504","title":"Leveraging Big Data from Smart Thermostats: A Vision to Evaluate Heatwave Impacts on Sleep Health in the Elderly [Vision Paper]","year":2023,"lang":"en","type":"article","venue":"","topic":"Climate Change and Health Impacts","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Thermostat; Sleep (system call); Psychological intervention; Quality of life (healthcare); Gerontology; Environmental health; Computer science; Psychology; Medicine; Engineering; Psychiatry","routes":{"ca_aff":true,"ca_fund":false,"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":[0.006697259,0.001270213,0.0009491647,0.002828436,0.0006190641,0.003430618,0.001632825,0.001723064,0.000961556],"category_scores_gemma":[0.01885237,0.0003774225,0.001403157,0.003964802,0.0007334886,0.004079622,0.002805186,0.001896004,0.0004470983],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008382485,"about_ca_system_score_gemma":0.001619388,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01048211,"about_ca_topic_score_gemma":0.01745526,"domain_scores_codex":[0.9971317,0.001729728,0.0002273352,0.0003445906,0.0004294402,0.0001370456],"domain_scores_gemma":[0.9860909,0.004827748,0.001850708,0.003385894,0.002785013,0.001059741],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0009352309,0.0009905213,0.6159982,0.002507475,0.003744552,0.0003994971,0.001721804,0.01985371,0.006213886,0.01267108,0.0583024,0.2766616],"study_design_scores_gemma":[0.0002038973,0.001338965,0.6030263,0.003437313,0.001894613,0.000480705,0.008255474,0.1215641,0.007425715,0.1270361,0.1249177,0.0004190756],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.6407793,0.02798353,0.1502047,0.06107393,0.004985353,0.001674305,0.09512054,0.002183432,0.01599497],"genre_scores_gemma":[0.7836748,0.009528589,0.1519565,0.008261459,0.002375755,0.0009371896,0.0413653,0.0002278579,0.001672639],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01048211,"threshold_uncertainty_score":0.03541887,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2125866103234474,"score_gpt":0.4052678413540544,"score_spread":0.1926812310306071,"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."}}