{"id":"W2367072700","doi":"","title":"Design of Electronic Control Failure Diagnostic System of Automobile Based on Personal Computer","year":2006,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Embedded Systems and FPGA Design","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Control (management); Personal computer; Electronic systems; Control system; Automotive engineering; Automotive industry; Embedded system; Computer hardware; Electrical engineering; Artificial intelligence; Electronic engineering; 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":[0.0001480493,0.0001776686,0.0003106967,0.0001270827,0.00004367089,0.0000163843,0.0001982854,0.00009005796,0.000009495426],"category_scores_gemma":[2.108282e-7,0.0001758269,0.00009688761,0.0002064779,0.00003283802,0.00003018728,0.000008717096,0.0001175495,0.00003104243],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001002287,"about_ca_system_score_gemma":0.00004322838,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001829587,"about_ca_topic_score_gemma":0.000002438979,"domain_scores_codex":[0.9989423,0.00005249529,0.0004105464,0.0002041858,0.0001386997,0.0002517671],"domain_scores_gemma":[0.9991243,0.00042612,0.00009506418,0.0002342011,0.00008310871,0.00003713843],"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":[0.000009031989,0.000140864,0.0001320821,0.0003952852,0.00005566538,0.000001242695,0.0000657821,0.9609086,0.02610988,0.003194687,0.005905641,0.003081216],"study_design_scores_gemma":[0.0007534426,0.0001040391,0.0005420834,0.0001142055,0.00003523343,0.000009325807,0.00000952455,0.98397,0.005426187,0.00004156981,0.008812999,0.0001814052],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002261867,0.0001939717,0.995904,0.00001699406,0.00001751852,0.00115562,0.00004686991,0.000223031,0.0001801708],"genre_scores_gemma":[0.9390242,9.227751e-7,0.06020654,0.00002097754,0.0001817937,0.0004959684,0.00002617875,0.00003295154,0.00001047143],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9367623,"threshold_uncertainty_score":0.7170014,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002896529455212754,"score_gpt":0.1671470016255041,"score_spread":0.1642504721702913,"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."}}