{"id":"W1505862043","doi":"10.48550/arxiv.1501.01548","title":"Implementation of Auto Monitoring and Short-Message-Service System via GSM Modem","year":2015,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"IoT-based Smart Home Systems","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"GSM; Short Message Service; Event (particle physics); Computer science; Service data point; Service (business); Embedded system; Bridge (graph theory); Real-time computing; Computer network; Mobile telephony; GSM services; Mobile radio","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":[0.0003660013,0.000457384,0.0003952949,0.0006817657,0.0002459276,0.0005424473,0.0007672259,0.0004886989,0.008394524],"category_scores_gemma":[0.0006747266,0.00017187,0.0002332099,0.0002297721,0.0001522029,0.0003943252,0.0004059236,0.0003560014,0.003256323],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002835926,"about_ca_system_score_gemma":0.0003625315,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001032849,"about_ca_topic_score_gemma":0.0005770277,"domain_scores_codex":[0.9994419,0.00009952376,0.00004901701,0.00009688861,0.0002020845,0.0001106127],"domain_scores_gemma":[0.9995981,0.00005377717,0.00002531787,0.00008863246,0.0001947068,0.00003953703],"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":[0.00165374,0.0008579642,0.01876771,0.0007593367,0.0001544509,0.001649285,0.001417446,0.01793208,0.434411,0.01166233,0.03390839,0.4768263],"study_design_scores_gemma":[0.0005513933,0.002064373,0.0197895,0.0001232355,0.0002385583,0.001926585,0.000365427,0.2165945,0.5777465,0.002949661,0.1774484,0.0002019531],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2805007,0.0003635548,0.6034509,0.0005977212,0.0005345729,0.001274735,0.001080347,0.07044169,0.04175574],"genre_scores_gemma":[0.9050545,0.0001105832,0.07750387,0.0002233175,0.00005203345,0.0003566665,0.0005943402,0.000412515,0.01569214],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.008394524,"threshold_uncertainty_score":0.02808243,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0584140839061238,"score_gpt":0.200600956202076,"score_spread":0.1421868722959523,"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."}}