{"id":"W2384986607","doi":"","title":"The Research for Embedding AutoCAD into the EMC Software of the Vehicular Communication System","year":2006,"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; Embedding; Software; Software implementation; Software engineering; Embedded system; 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":[0.0005614485,0.00008501955,0.00009464131,0.00004058023,0.0009507706,0.00008654362,0.00118572,0.00007347253,1.948774e-7],"category_scores_gemma":[0.000003351338,0.00004562796,0.00007618856,0.000348265,0.0001675602,0.00003309223,0.0002251079,0.0002065118,0.000007674217],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009750148,"about_ca_system_score_gemma":0.00001716585,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00013686,"about_ca_topic_score_gemma":0.00009489878,"domain_scores_codex":[0.9992436,0.00005704042,0.0002615207,0.0001165998,0.0001301788,0.000191022],"domain_scores_gemma":[0.9983557,0.0004635452,0.00005757001,0.0009646243,0.0001486854,0.00000980692],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00000561727,0.00008776794,0.0007201997,0.0009854091,0.0002262614,2.194331e-7,0.002854403,0.04784389,0.02898646,0.6008705,0.09746623,0.2199531],"study_design_scores_gemma":[0.0001151467,0.000006512126,0.0008856418,0.00009387902,0.00001256846,0.000005840346,0.0006183897,0.0356685,0.01081311,0.005300285,0.9463865,0.00009369016],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01886011,0.004978534,0.9705399,0.001648822,0.00006229896,0.00274014,0.00001715896,0.0006140631,0.0005390238],"genre_scores_gemma":[0.9660555,0.0000251135,0.03104183,0.000007992477,0.00008329305,0.002653522,0.00000884596,0.00002316763,0.000100796],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9471954,"threshold_uncertainty_score":0.7312655,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01487474639580687,"score_gpt":0.2716613889536275,"score_spread":0.2567866425578206,"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."}}