{"id":"W2808431526","doi":"10.7939/r34747651","title":"Reliability of a North American Freight Railcar Air Brake Inspection Method Using Wheel Temperature Detectors","year":2018,"lang":"en","type":"article","venue":"University of Alberta Library","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Automotive engineering; Reliability (semiconductor); Brake; Detector; Engineering; Aeronautics; Computer science; Electrical engineering; Physics; Power (physics)","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":[0.002002045,0.0005172185,0.0003666561,0.001410214,0.0005572891,0.0006987776,0.0006875572,0.0004888062,0.0008290945],"category_scores_gemma":[0.003900543,0.0003121846,0.0003441851,0.0008044538,0.0003389667,0.0004450782,0.0004041225,0.000317225,0.0005939034],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009384436,"about_ca_system_score_gemma":0.0008978487,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04296233,"about_ca_topic_score_gemma":0.107189,"domain_scores_codex":[0.996676,0.0003700971,0.0001618518,0.0008829906,0.001763307,0.0001457689],"domain_scores_gemma":[0.9938495,0.0008832008,0.0006273899,0.0004416261,0.004067062,0.0001313764],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001622748,0.0005021219,0.5597819,0.000424331,0.0003771944,0.0001489687,0.001770503,0.007545223,0.1630131,0.0003814714,0.002585062,0.2618474],"study_design_scores_gemma":[0.00003462115,0.001408493,0.8245781,0.0001317656,0.0003536227,0.0006819605,0.001163906,0.048677,0.1131651,0.00009843057,0.009573503,0.0001335102],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9780621,0.0006161783,0.01492702,0.00006209918,0.0000619945,0.00008175241,0.0004725944,0.0006034403,0.005112821],"genre_scores_gemma":[0.9859172,0.0002321688,0.0105156,0.00002523549,0.000008735168,0.00003246332,0.0005101077,0.00003268045,0.002726021],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04296233,"threshold_uncertainty_score":0.08542448,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003418657210630241,"score_gpt":0.1662255824053915,"score_spread":0.1628069251947612,"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."}}