{"id":"W2391258856","doi":"","title":"Research on the Design of the Signal Acquisition Software of Border Patrol Vehicle Power System","year":2008,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Power Systems and Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Serial communication; SIGNAL (programming language); Software; Power (physics); Computer hardware; Embedded system; Data acquisition; Visual Basic; Real-time computing; Operating system","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":[0.0002235442,0.00008096381,0.0001133831,0.00007556049,0.000176825,0.00000905456,0.0004596748,0.00007193256,0.00001045916],"category_scores_gemma":[7.470737e-7,0.00004998369,0.00005487758,0.0004079526,0.0001220291,0.00002537766,0.00007731932,0.000169798,0.00002562466],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004627083,"about_ca_system_score_gemma":0.00002069694,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001261786,"about_ca_topic_score_gemma":4.60497e-7,"domain_scores_codex":[0.999276,0.00006384024,0.0002085442,0.0001179877,0.0001815124,0.0001520576],"domain_scores_gemma":[0.9991663,0.0002052979,0.00004512793,0.0004474012,0.0001214767,0.00001436422],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00004469735,0.0006390928,0.00317973,0.001022238,0.0005234065,0.000006412884,0.003770723,0.1362991,0.6214394,0.08159515,0.1090771,0.04240301],"study_design_scores_gemma":[0.001051181,0.0003260365,0.02918755,0.0007058189,0.00004296006,0.0001178801,0.001750796,0.02825544,0.8039443,0.001572687,0.132387,0.0006584066],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08189026,0.0003005326,0.9158351,0.0001688785,0.00002485494,0.001051073,0.00002715438,0.0002464062,0.0004556887],"genre_scores_gemma":[0.9931726,0.000006169495,0.006401882,0.00001593561,0.00002644774,0.0003379232,0.000001282569,0.00001470418,0.00002303191],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9112824,"threshold_uncertainty_score":0.2038276,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02768058493003436,"score_gpt":0.2543360594682241,"score_spread":0.2266554745381897,"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."}}