{"id":"W3093682364","doi":"10.37775/eis.2020.2.3","title":"Analysing fuzzy logic-based line following model car","year":2020,"lang":"en","type":"article","venue":"Mérnöki és Informatikai Megoldások","topic":"Industrial Automation and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Savaria (Canada)","funders":"European Social Fund; European Commission","keywords":"Fuzzy logic; Computer science; Microcontroller; Fuzzy electronics; Line (geometry); Implementation; Fuzzy set operations; Fuzzy control system; Control engineering; Artificial intelligence; Embedded system; Mathematics; Programming language; Engineering","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":[0.0001607879,0.0003470899,0.0004119492,0.0003681259,0.0004428025,0.0007198855,0.0006500454,0.0009144886,0.004123138],"category_scores_gemma":[0.0004682901,0.0001403583,0.0004256946,0.0001900023,0.0002875869,0.0002661209,0.0002762374,0.0003305039,0.0003653472],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006123561,"about_ca_system_score_gemma":0.0004351904,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02464543,"about_ca_topic_score_gemma":0.01102639,"domain_scores_codex":[0.9998735,0.00001750709,0.000005300186,0.00003215088,0.00005081009,0.00002073467],"domain_scores_gemma":[0.9997534,0.00008109153,0.00002737276,0.00002420284,0.00009763704,0.00001628483],"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":[0.0002005892,0.00007964142,0.001816829,0.0001274476,0.00003682706,0.0005055791,0.000188503,0.960223,0.0224339,0.004592867,0.0004928946,0.009301981],"study_design_scores_gemma":[0.000006646219,0.00005730817,0.0004468197,0.000003841316,0.000007502751,0.00002809996,0.00002663916,0.9959786,0.002536216,0.0003494117,0.000553211,0.000005778456],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7551495,0.0002669335,0.2226553,0.0001683948,0.00005966481,0.0001581504,0.0004011817,0.001213908,0.01992692],"genre_scores_gemma":[0.9888645,0.00004697529,0.006377265,0.00001194851,0.000002398072,0.00003032038,0.0001173571,0.00001554269,0.004533785],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02464543,"threshold_uncertainty_score":0.04900396,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03183231029258551,"score_gpt":0.2251401288264683,"score_spread":0.1933078185338828,"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."}}