{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007155403,0.0005308626,0.0004429855,0.0007107865,0.0002749077,0.0003774222,0.0007042835,0.0005108697,0.003309587],"category_scores_gemma":[0.00171019,0.0001918166,0.0002757569,0.0006300981,0.0002263966,0.0002834347,0.0002907607,0.0002794615,0.0003280956],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002752875,"about_ca_system_score_gemma":0.0002124931,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001260608,"about_ca_topic_score_gemma":0.00112306,"domain_scores_codex":[0.9995804,0.00009831704,0.00004603139,0.00004427918,0.0001929361,0.00003805284],"domain_scores_gemma":[0.9989933,0.0004231609,0.00008016669,0.0001724072,0.0002994172,0.00003153332],"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":[0.001537536,0.001171041,0.00938084,0.001721639,0.0001015521,0.0004321573,0.000853358,0.4573039,0.3932528,0.005638306,0.001615868,0.1269911],"study_design_scores_gemma":[0.0000964172,0.001573433,0.009139014,0.00007762174,0.00005846559,0.0002050001,0.0002429255,0.781296,0.2014758,0.0008838997,0.004901045,0.00005037685],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7174774,0.0004158418,0.2689422,0.00005206568,0.0000555855,0.0004738368,0.001076228,0.001905925,0.00960093],"genre_scores_gemma":[0.9657524,0.000137377,0.03215296,0.000007315093,0.000003300358,0.000319943,0.0004545352,0.00004957073,0.001122745],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003309587,"threshold_uncertainty_score":0.01107162,"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."}}