{"id":"W2800220339","doi":"10.1080/00423114.2018.1467018","title":"A practical identifier design of road variations for anti-lock brake system","year":2018,"lang":"en","type":"article","venue":"Vehicle System Dynamics","topic":"Vehicle Dynamics and Control Systems","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"National Natural Science Foundation of China","keywords":"Identifier; Brake; Anti-lock braking system; Automotive engineering; Controller (irrigation); Identification (biology); Engineering; Lock (firearm); Process (computing); Computer science; Computer network","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005530941,0.000427788,0.0004711869,0.000357641,0.0003671824,0.0005738859,0.0008922248,0.0005444693,0.001645279],"category_scores_gemma":[0.0007573196,0.0002240918,0.0002894441,0.0001749641,0.0004264753,0.0007089725,0.0005845003,0.0004764319,0.0004325869],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000390321,"about_ca_system_score_gemma":0.0009703555,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001507913,"about_ca_topic_score_gemma":0.001323506,"domain_scores_codex":[0.9994319,0.0001012888,0.00004560632,0.0001580743,0.0001999402,0.0000631094],"domain_scores_gemma":[0.9995016,0.00008934132,0.00009315152,0.00005418804,0.0002404127,0.00002123477],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004469199,0.0001697193,0.00401468,0.000921576,0.0001150621,0.0006645277,0.0006694344,0.5190621,0.2120967,0.04031761,0.003191301,0.2183303],"study_design_scores_gemma":[0.00003408545,0.0004357415,0.0009406547,0.00001956174,0.00002731833,0.0001307379,0.00003808687,0.9717036,0.01786409,0.0009405672,0.007841553,0.00002411377],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01556266,0.0001215288,0.9809421,0.00005179652,0.00006945658,0.00008475981,0.00002967935,0.0005878564,0.00255016],"genre_scores_gemma":[0.9143082,0.0001485082,0.08237968,0.00004804593,0.00003729235,0.0002104149,0.00008663267,0.00002712481,0.002754031],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001645279,"threshold_uncertainty_score":0.005503953,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01503411080707496,"score_gpt":0.2406198243624977,"score_spread":0.2255857135554227,"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."}}