{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003112873,0.0003410745,0.0004841831,0.0002734041,0.00005602647,0.0000339502,0.0003576813,0.0003043652,0.000006729898],"category_scores_gemma":[0.000002912558,0.0004360955,0.00009145936,0.0003302246,0.00002822053,0.0002032854,0.0003507495,0.0003458038,0.00001778174],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006284668,"about_ca_system_score_gemma":0.00008313116,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001111423,"about_ca_topic_score_gemma":0.0001675207,"domain_scores_codex":[0.9986539,0.0000829208,0.0003457196,0.0004887916,0.0001274235,0.0003012522],"domain_scores_gemma":[0.9988484,0.00003621442,0.0001321771,0.0005898124,0.0002236369,0.0001698089],"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":[0.00002066784,0.00001498776,0.03613264,0.00378454,0.0003204971,0.00008524607,0.0009190391,0.9551376,0.002003411,0.001064947,0.0001159642,0.000400535],"study_design_scores_gemma":[0.000803733,0.00003903701,0.007034566,0.0006956746,0.0003167675,0.000009475785,0.004962557,0.9804696,0.004507738,0.0002924412,0.0001202104,0.0007481757],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9554784,0.0002354605,0.04083945,0.000003727978,0.001265322,0.000464285,0.00006262118,0.0004398789,0.001210909],"genre_scores_gemma":[0.9994833,0.00003807368,0.0001491275,0.000001400196,0.0001677528,0.000003396968,0.00003093174,0.00006237298,0.00006360263],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.044005,"threshold_uncertainty_score":0.9998091,"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."}}