{"id":"W2124990670","doi":"10.5539/mas.v4n2p101","title":"Safety Production Monitoring Schemes and Terminal Software Based on TD-SCDMA in Coal Mine","year":2010,"lang":"en","type":"article","venue":"Modern Applied Science","topic":"IoT-based Smart Home Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Coal mining; Terminal (telecommunication); Wireless; Workflow; Base station; Real-time computing; Computer network; Coal; Telecommunications; Database; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006011915,0.0001642846,0.0001527872,0.0002539573,0.0001621872,0.00007138976,0.000220306,0.00007067904,0.000003982816],"category_scores_gemma":[0.00005472779,0.0001632024,0.00001479054,0.0003691767,0.0002154611,0.000173099,0.00003565322,0.0003199849,0.00001277175],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001048942,"about_ca_system_score_gemma":0.00005973673,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001430814,"about_ca_topic_score_gemma":0.00003709512,"domain_scores_codex":[0.9986069,0.000006580867,0.0001974937,0.0004240347,0.0004004555,0.0003645041],"domain_scores_gemma":[0.9994637,0.00003462741,0.00002892117,0.00034448,0.00002824807,0.0001000388],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003056469,0.00002874964,0.01766984,0.00007736631,0.000001418558,0.000005013408,0.0003639832,0.04244662,0.923501,0.00005598505,0.0000133364,0.0158062],"study_design_scores_gemma":[0.0006515699,0.00003322763,0.04997971,0.00009668137,0.000004504865,0.00001405942,0.00009626898,0.6730907,0.2750315,0.0001028892,0.0004689607,0.0004299761],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9738908,0.00001519902,0.02358726,0.00003472396,0.001028546,0.000287432,0.000002976014,0.0002137041,0.0009393908],"genre_scores_gemma":[0.9944424,8.960984e-7,0.005212227,0.000008132362,0.0002276509,0.00004705306,0.000001591013,0.00002222997,0.00003780254],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6484694,"threshold_uncertainty_score":0.66552,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007751598375109052,"score_gpt":0.2141227921257148,"score_spread":0.2063711937506058,"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."}}