{"id":"W4385877479","doi":"10.36227/techrxiv.23941626.v1","title":"GSM Based Home Security Alarm System Using Arduino Using Mobile Call","year":2023,"lang":"en","type":"preprint","venue":"","topic":"IoT-based Smart Home Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan; University of Regina","funders":"","keywords":"Arduino; GSM; Home security; Computer science; ALARM; Computer security; Security system; Mobile phone; GSM services; Phone; Embedded system; Home automation; Short Message Service; Computer hardware; Telecommunications; Operating system; Mobile device; Engineering; Mobile technology; Electrical engineering","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":[0.000252676,0.0005999208,0.0004315439,0.0006714957,0.0002527297,0.0007074606,0.0005719853,0.0004464375,0.01353036],"category_scores_gemma":[0.0005276453,0.0001841461,0.0001875689,0.0003084315,0.0001634622,0.0005047036,0.0003916876,0.0003299973,0.005267872],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001652165,"about_ca_system_score_gemma":0.000194143,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004308445,"about_ca_topic_score_gemma":0.0003819994,"domain_scores_codex":[0.9994429,0.00007732446,0.00004475363,0.0001234464,0.0002604092,0.00005110552],"domain_scores_gemma":[0.9997534,0.00004215382,0.0000311288,0.00004093848,0.0001122063,0.00002021753],"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":[0.001449774,0.0003997951,0.008003569,0.0009104611,0.0001148608,0.002115259,0.00109888,0.005405156,0.3826661,0.005539613,0.05170187,0.5405946],"study_design_scores_gemma":[0.0003944474,0.002601783,0.02437803,0.0002753994,0.0003747268,0.007313201,0.0004657648,0.110143,0.5152714,0.003109849,0.3353617,0.0003105774],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2080016,0.001662159,0.5371742,0.000777681,0.0007997396,0.001117643,0.001914634,0.1426085,0.105944],"genre_scores_gemma":[0.8739271,0.0007264713,0.06615652,0.0004981827,0.0001686789,0.0004168823,0.001521438,0.0009473495,0.0556373],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01353036,"threshold_uncertainty_score":0.04526359,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03219780708309279,"score_gpt":0.2498978631364389,"score_spread":0.2177000560533461,"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."}}