{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002908136,0.0003179662,0.0003294412,0.0002552504,0.0001991731,0.0006501544,0.001116163,0.0004422627,0.008103287],"category_scores_gemma":[0.0007103565,0.0001846308,0.0003916143,0.0001667731,0.0001724637,0.0004627714,0.0003801343,0.0003531963,0.002227225],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000364638,"about_ca_system_score_gemma":0.0005815637,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002832123,"about_ca_topic_score_gemma":0.001968541,"domain_scores_codex":[0.9997881,0.00002703517,0.00002051059,0.00005927457,0.00007758027,0.00002748444],"domain_scores_gemma":[0.9998032,0.00003919653,0.0000158952,0.00004532995,0.000082939,0.00001340236],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003907711,0.00033677,0.005252806,0.0004495843,0.000127483,0.0008241346,0.0002141494,0.1455028,0.06184554,0.01379104,0.01362212,0.7576427],"study_design_scores_gemma":[0.00004056681,0.0002137267,0.002594258,0.00004119197,0.00003474966,0.0003543479,0.00003545803,0.9285315,0.04439515,0.00286158,0.02086716,0.00003044379],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04302747,0.0002840968,0.9132491,0.0002798673,0.000177044,0.0002913139,0.0002842019,0.02257838,0.01982845],"genre_scores_gemma":[0.6222432,0.0003354588,0.3568351,0.0001734326,0.00004046839,0.0003374898,0.0006252456,0.0001711524,0.01923849],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008103287,"threshold_uncertainty_score":0.02710819,"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."}}