{"id":"W2902875563","doi":"10.1139/tcsme-2017-515","title":"A NOVEL DESIGN OF AN ELECTRIC POWER-ASSISTED BIKE BASED ON HELICAL GEARS","year":2017,"lang":"en","type":"article","venue":"Transactions of the Canadian Society for Mechanical Engineering","topic":"Robotic Locomotion and Control","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ministry of Science and Technology, Taiwan","keywords":"Lock (firearm); Power (physics); Electric motor; Electric power; Computer science; Automotive engineering; Mechanical engineering; Simulation; Engineering; Physics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001607171,0.0003814226,0.0004924324,0.0004145541,0.0003288613,0.0004259853,0.0009515252,0.0005092941,0.001654452],"category_scores_gemma":[0.0002054818,0.0002560484,0.000267416,0.000188254,0.0002518131,0.0005040289,0.0003547166,0.0001804434,0.0006852173],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001527788,"about_ca_system_score_gemma":0.000283479,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003012194,"about_ca_topic_score_gemma":0.0004191082,"domain_scores_codex":[0.9998229,0.00002511765,0.0000175364,0.00005242232,0.00005829367,0.00002374891],"domain_scores_gemma":[0.9998878,0.00001561403,0.00002600799,0.00001587462,0.00003881586,0.0000158415],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005946998,0.0001883166,0.002555689,0.00102028,0.00009334413,0.001047074,0.0003021852,0.04375049,0.6953479,0.02699573,0.00249113,0.2256132],"study_design_scores_gemma":[0.0002178663,0.003750257,0.007892326,0.0001923551,0.0002183262,0.004394195,0.0002845362,0.6807706,0.2083287,0.005366776,0.08840442,0.000179632],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.121913,0.00117924,0.8576404,0.0002332958,0.00027147,0.0002282628,0.000101208,0.0009830536,0.01745002],"genre_scores_gemma":[0.8542318,0.0004153011,0.1389609,0.00005255155,0.00003911196,0.0001825849,0.00005176248,0.00002259485,0.006043425],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001654452,"threshold_uncertainty_score":0.005534649,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01759442371518606,"score_gpt":0.2102952179143542,"score_spread":0.1927007941991681,"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."}}