{"id":"W4353076397","doi":"10.32350/umtair.21.002","title":"Machine Learning Based Implementation of Home Automation Using Smart Mirror","year":2023,"lang":"en","type":"article","venue":"UMT Artificial Intelligence Review","topic":"IoT-based Smart Home Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Concordia University of Edmonton","keywords":"Computer science; Raspberry pi; Classifier (UML); Python (programming language); Confusion matrix; Programmer; Confusion; False positive paradox; Internet of Things; Software; Artificial intelligence; Support vector machine; Programming language; Embedded system","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001158145,0.0001890319,0.0003987049,0.0002669494,0.00008162452,0.00002338482,0.0001350918,0.00005792204,0.0003630538],"category_scores_gemma":[0.00007724674,0.0001928021,0.0001408248,0.001228323,0.00002790954,0.0001858649,0.00002150246,0.0001467639,0.0004783629],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001182725,"about_ca_system_score_gemma":0.00004553096,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002690148,"about_ca_topic_score_gemma":0.0001015784,"domain_scores_codex":[0.9981504,0.0001541011,0.000885062,0.0001690138,0.0002976143,0.0003437798],"domain_scores_gemma":[0.9993597,0.0001066736,0.0001549895,0.0002195231,0.00008760516,0.00007150877],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000165722,0.00009921793,0.0110312,0.03707285,0.0002310056,0.00001855624,0.001672462,0.1190435,0.06395713,0.002501854,0.0007529413,0.7636027],"study_design_scores_gemma":[0.00003335076,0.00005008861,0.0003988905,0.002749659,0.00008994498,0.000003966654,0.0003289757,0.9330835,0.05709696,0.0001381981,0.00568634,0.0003401592],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5608505,0.0843007,0.3376002,0.0005898711,0.006036252,0.005239062,0.0001666458,0.004440327,0.0007764191],"genre_scores_gemma":[0.9935467,0.004713042,0.001348988,0.00004134005,0.0000777063,0.00005808578,0.0001373833,0.0000613918,0.00001534827],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8140399,"threshold_uncertainty_score":0.7862242,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07952824555965378,"score_gpt":0.3510056221394535,"score_spread":0.2714773765797997,"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."}}