{"id":"W4392077390","doi":"","title":"Home Human behaviour monitoring based on recorded data from existing smart thermostat in North American houses","year":2023,"lang":"fr","type":"article","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Context-Aware Activity Recognition Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"University of Waterloo; Université de Technologie de Compiègne","keywords":"Thermostat; Computer science; Telecommunications; Engineering; Electrical engineering","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":[0.0001262484,0.0001016084,0.000155256,0.0004191865,0.0002410415,0.0002080606,0.0001635073,0.0001631743,0.0006583294],"category_scores_gemma":[0.0002729365,0.00007161761,0.00008653133,0.0006222507,0.000174766,0.0001635594,0.000142705,0.00009293282,0.0002249416],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003493179,"about_ca_system_score_gemma":0.0002185915,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04174189,"about_ca_topic_score_gemma":0.1526599,"domain_scores_codex":[0.9999067,0.00002663965,0.000005987847,0.00002796182,0.00001650517,0.00001631411],"domain_scores_gemma":[0.9997388,0.00006129168,0.00003575143,0.00001599123,0.0001091082,0.00003900156],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000376436,0.0002941424,0.9578348,0.00005779741,0.00004521299,0.0004802152,0.002343844,0.001658802,0.0105503,0.00005828973,0.001117751,0.02518245],"study_design_scores_gemma":[0.000002316715,0.00005425576,0.9941491,0.000004650627,0.00001272275,0.0000714316,0.00159196,0.003149051,0.0006345023,0.00001768535,0.0003082752,0.000004082694],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993321,0.00001104597,0.0001498741,0.000007365292,0.000001450979,0.000003036966,0.0001566042,0.000005607008,0.000332876],"genre_scores_gemma":[0.9991847,0.00002410617,0.0002010539,0.000003984468,0.000001995888,0.000004807368,0.0002287413,0.000001166788,0.0003494461],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9582581,"threshold_uncertainty_score":0.0829978,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.105373476467787,"score_gpt":0.3009324167550645,"score_spread":0.1955589402872775,"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."}}