{"id":"W2353184248","doi":"","title":"The application of linear motor to Skytrain system in Vancouver and its development","year":2003,"lang":"en","type":"article","venue":"Electric Drive For Locomotive","topic":"Mechanics and Biomechanics Studies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Linear motor; Linear system; Engineering; Automotive engineering; Computer science; Mechanical engineering; Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0002366551,0.0002459792,0.0001208142,0.0006475985,0.001265811,0.0009196395,0.0005019873,0.0004017729,0.004702917],"category_scores_gemma":[0.0004860899,0.0001396254,0.0001042651,0.001286651,0.000316563,0.0002836061,0.0005147657,0.0003551813,0.001150914],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003323404,"about_ca_system_score_gemma":0.0035382,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5058061,"about_ca_topic_score_gemma":0.7195224,"domain_scores_codex":[0.9995729,0.00003408564,0.00001337893,0.00003797157,0.0002906717,0.00005107733],"domain_scores_gemma":[0.9995068,0.00002582296,0.0000135459,0.000009630306,0.0004025978,0.00004146261],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0002960581,0.0001372852,0.05990244,0.0007489166,0.00003227235,0.004821033,0.002217805,0.006170754,0.0702199,0.01483472,0.02371263,0.8169062],"study_design_scores_gemma":[0.00003428089,0.0008790336,0.3404514,0.0003639598,0.00004816677,0.006570294,0.00452579,0.01080214,0.03874694,0.002315216,0.5951695,0.00009331202],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5446948,0.01268869,0.02249114,0.002686043,0.0002887499,0.0003210146,0.0006888437,0.0003115782,0.4158291],"genre_scores_gemma":[0.7318873,0.008837868,0.01082754,0.0002884804,0.00003712056,0.00004425703,0.0005877556,0.00004634064,0.2474434],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4941939,"threshold_uncertainty_score":0.9942086,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006500152736120232,"score_gpt":0.2045218264695557,"score_spread":0.1980216737334355,"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."}}