{"id":"W4385873508","doi":"10.36227/techrxiv.23941626","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":2,"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; GSM services; Mobile phone; 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":[0.0002402604,0.0005501222,0.0004096247,0.0006245982,0.0002511346,0.000679621,0.000589149,0.0004250987,0.01608223],"category_scores_gemma":[0.0005088222,0.0001835772,0.0001749694,0.0002956367,0.0001566064,0.0005075594,0.0004036081,0.0003273539,0.006079645],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001634747,"about_ca_system_score_gemma":0.0001921141,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005055973,"about_ca_topic_score_gemma":0.000471733,"domain_scores_codex":[0.9994722,0.00006994962,0.00003930184,0.0001183331,0.0002515233,0.00004865216],"domain_scores_gemma":[0.9997706,0.00003803922,0.00002652161,0.00004095192,0.000103003,0.00002090499],"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":[0.00119448,0.0003844135,0.00634986,0.0006908505,0.00009157455,0.001901092,0.0008826272,0.004995819,0.3930644,0.005397111,0.05712469,0.5279232],"study_design_scores_gemma":[0.0003720686,0.002495349,0.02182228,0.0002411531,0.0003195774,0.006114166,0.0004386728,0.1175606,0.5102645,0.002656914,0.3374242,0.0002903934],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1947384,0.001374877,0.5318144,0.0008587833,0.000848921,0.001072452,0.001959293,0.1495843,0.1177487],"genre_scores_gemma":[0.8502715,0.0006491094,0.0764415,0.0005356842,0.0001738047,0.0003911323,0.001618575,0.001056324,0.06886231],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01608223,"threshold_uncertainty_score":0.0538004,"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."}}