{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009420509,0.0009321039,0.001327134,0.0006956268,0.0001595867,0.000275033,0.0006494329,0.00106027,0.00006652848],"category_scores_gemma":[0.00002306593,0.001012611,0.0005205219,0.0004911312,0.00005539736,0.0001217551,0.0005206882,0.001292123,0.0002659173],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002277145,"about_ca_system_score_gemma":0.0002856218,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003607858,"about_ca_topic_score_gemma":0.0001769328,"domain_scores_codex":[0.9959197,0.0002133981,0.001137972,0.0009732814,0.0007549615,0.001000679],"domain_scores_gemma":[0.9975441,0.0001529523,0.0002178698,0.001586376,0.0001919708,0.0003068035],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00000637293,0.00002302825,0.001152717,0.008806703,0.000227098,0.0001661725,0.0002291802,0.9865867,0.001938828,0.00005555977,0.0007826257,0.00002501739],"study_design_scores_gemma":[0.0004086577,0.00001643735,0.0001032054,0.002024887,0.0001451454,0.00003285069,0.0002851694,0.9921209,0.002843436,0.00002692963,0.0008470038,0.001145351],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8679314,0.0006883426,0.1027981,0.00000945036,0.01600362,0.002397194,0.0004762769,0.007180542,0.002515173],"genre_scores_gemma":[0.9942808,0.000006614358,0.003482854,0.00001684924,0.001168532,0.0001982198,0.0001587171,0.0004783988,0.0002090334],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1263494,"threshold_uncertainty_score":0.9992324,"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."}}