{"id":"W1990299461","doi":"10.1007/s11633-011-0602-4","title":"Application of fuzzy logic for autonomous bay parking of automobiles","year":2011,"lang":"en","type":"article","venue":"International Journal of Automation and Computing","topic":"Robotic Path Planning Algorithms","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Saskatchewan; University of Victoria; University of British Columbia","funders":"","keywords":"Fuzzy logic; Controller (irrigation); Set (abstract data type); Control engineering; Fuzzy control system; Computer science; Control (management); Engineering; Automotive engineering; Simulation; Control theory (sociology); Artificial intelligence","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":[0.0003678034,0.0002949352,0.0003346928,0.0004644941,0.0005783743,0.0006116498,0.0004910284,0.0004862435,0.0011674],"category_scores_gemma":[0.0008653735,0.0001729579,0.000367749,0.0003254051,0.0003375862,0.0003953801,0.0003868593,0.0003434021,0.0001335343],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004357951,"about_ca_system_score_gemma":0.0006548149,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004703863,"about_ca_topic_score_gemma":0.004024911,"domain_scores_codex":[0.9998373,0.00003389275,0.00001136936,0.0000361599,0.00005966873,0.00002156391],"domain_scores_gemma":[0.9997299,0.0001140656,0.00002198973,0.00002683724,0.00008804176,0.0000190539],"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":[0.0006654804,0.000202321,0.002939455,0.0002287397,0.00008248014,0.0006072089,0.0002867441,0.5742282,0.07151224,0.02108057,0.001541972,0.3266246],"study_design_scores_gemma":[0.00002200027,0.00008808346,0.0003644227,0.000009487084,0.00002163991,0.00006729311,0.00002807182,0.9858543,0.006067372,0.006712351,0.0007538336,0.00001102586],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1242944,0.0004714839,0.8670334,0.0002108138,0.0001126996,0.00005917166,0.00007275629,0.0006135567,0.007131685],"genre_scores_gemma":[0.9323044,0.000105709,0.06672604,0.00003659929,0.00001382884,0.00001506456,0.00002269214,0.00001048501,0.0007652393],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004703863,"threshold_uncertainty_score":0.009352922,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02912910521385828,"score_gpt":0.2864331687700922,"score_spread":0.2573040635562339,"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."}}