{"id":"W2358555643","doi":"","title":"Design of Vehicle Alarming and Control System Based on GSM","year":2006,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"IoT and GPS-based Vehicle Safety Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; GSM; Wireless; Global Positioning System; Embedded system; Control (management); Software; Interface (matter); Orientation (vector space); Software design; Telecommunications; Real-time computing; Computer hardware; Software development; Operating system; Artificial intelligence","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":[0.0001158699,0.0001201447,0.000168935,0.00008249073,0.00006738526,0.00002098637,0.0001013936,0.00005953809,0.000001485946],"category_scores_gemma":[9.277338e-8,0.0001239085,0.00003504819,0.0001315267,0.00002257059,0.0000308885,0.00000744005,0.00006710224,0.00002362523],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004743086,"about_ca_system_score_gemma":0.00001153182,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002657116,"about_ca_topic_score_gemma":0.000001074728,"domain_scores_codex":[0.9993428,0.00002644062,0.0002495561,0.0001544141,0.00007336569,0.0001534011],"domain_scores_gemma":[0.9995911,0.0001097832,0.00004116836,0.0001859477,0.00003683026,0.00003524563],"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":[0.00001888043,0.0000884433,0.0008578076,0.0005429715,0.00003812032,0.000002364063,0.00006910279,0.6737798,0.2966967,0.00156406,0.001431683,0.02491009],"study_design_scores_gemma":[0.0008932072,0.00002705309,0.001563683,0.00007507502,0.00001996512,0.000005217704,0.0000104621,0.958166,0.02604889,0.00002615904,0.01299938,0.000164897],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006998593,0.0001776745,0.9913098,0.00004672584,0.00001988954,0.0007009769,0.00001793949,0.000242762,0.0004856795],"genre_scores_gemma":[0.9768414,9.178897e-7,0.02271791,0.00004029606,0.0001472748,0.0002003453,0.00001074468,0.00002462748,0.00001642076],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9698429,"threshold_uncertainty_score":0.5052841,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003648947709986231,"score_gpt":0.1674069586618537,"score_spread":0.1637580109518675,"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."}}