{"id":"W2332521906","doi":"10.1061/9780784479797.022","title":"APM and Monorail for Urban Applications","year":2016,"lang":"en","type":"article","venue":"","topic":"Electrical Contact Performance and Analysis","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bombardier (Canada)","funders":"","keywords":"Monorail; Computer science; Transport engineering; Engineering; Civil 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":[0.0004853499,0.0007839081,0.00028099,0.001109488,0.000397394,0.00130122,0.001347443,0.001062157,0.06355221],"category_scores_gemma":[0.001383563,0.0002879361,0.0003572961,0.001646962,0.0002729753,0.002025345,0.001615607,0.0006534879,0.01931363],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003395697,"about_ca_system_score_gemma":0.0003904501,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006376639,"about_ca_topic_score_gemma":0.001419641,"domain_scores_codex":[0.9992865,0.0001198686,0.00003380856,0.0001045554,0.0003881629,0.00006721057],"domain_scores_gemma":[0.9991282,0.0001456806,0.00007101973,0.0003127617,0.0002938261,0.0000486444],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004289822,0.0001991324,0.002710116,0.001120311,0.00002818465,0.0006197829,0.0002523326,0.01028521,0.03802742,0.03374482,0.1127941,0.7997895],"study_design_scores_gemma":[0.00004022584,0.0003951283,0.006610481,0.0001758573,0.00003283144,0.001616591,0.0003906499,0.05998042,0.02957305,0.00971567,0.8913981,0.00007097056],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.04935012,0.006088324,0.5019882,0.002062832,0.001392532,0.0005230133,0.002988657,0.02123387,0.4143724],"genre_scores_gemma":[0.5586028,0.004344631,0.1791665,0.001050031,0.0007111535,0.0006430603,0.004750965,0.001540586,0.2491904],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.06355221,"threshold_uncertainty_score":0.2126033,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004132297783318209,"score_gpt":0.1833378023761388,"score_spread":0.1792055045928205,"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."}}