{"id":"W1553118217","doi":"","title":"Experimental and simulation methods for evaluation of electrical bicycle motor drives on riding profiles","year":2011,"lang":"en","type":"article","venue":"European Conference on Power Electronics and Applications","topic":"Electric and Hybrid Vehicle Technologies","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"DC motor; Brush; Traction motor; Automotive engineering; Brushed DC electric motor; Test bench; Waveform; Computer science; Traction (geology); Electric motor; AC motor; Engineering; Voltage; Mechanical engineering; Electrical 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034406,0.0001122377,0.0001109229,0.00009618625,0.00008481777,0.00001885218,0.00008830067,0.00003274557,0.00001043692],"category_scores_gemma":[0.00002924023,0.0001076576,0.00002266235,0.000106841,0.00004434478,0.0000447806,0.00001570922,0.0001097108,0.00000223142],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003787027,"about_ca_system_score_gemma":0.00002174129,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":6.218881e-7,"about_ca_topic_score_gemma":1.534073e-7,"domain_scores_codex":[0.9993427,0.00005600675,0.0001533504,0.0001957964,0.00008428454,0.0001678897],"domain_scores_gemma":[0.9996083,0.00009011552,0.0000485627,0.0001455628,0.00007565489,0.00003178969],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005567644,0.0001324438,0.0001361311,0.000021035,0.00005896911,1.232935e-7,0.0003803964,0.0007645583,0.2379634,0.3835129,0.00003706258,0.3769373],"study_design_scores_gemma":[0.0006299088,0.0009964849,0.004147561,0.00001987926,0.00004953315,0.00000158512,0.00008671047,0.5916289,0.3902769,0.01044771,0.001459935,0.0002548814],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7687445,0.002225249,0.2148845,0.00003265576,0.00001660371,0.001115689,0.000009575614,0.0002500274,0.01272114],"genre_scores_gemma":[0.9957131,0.000144616,0.003903543,0.00001079068,0.00001140879,0.0001730097,0.000005859171,0.00002219212,0.00001546706],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5908644,"threshold_uncertainty_score":0.439015,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05523988173896532,"score_gpt":0.3398937386123336,"score_spread":0.2846538568733683,"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."}}