{"id":"W2130917899","doi":"10.1049/ic:20080312","title":"Developments in track circuit condition monitoring","year":2008,"lang":"en","type":"article","venue":"","topic":"Railway Systems and Energy Efficiency","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bombardier (Canada)","funders":"","keywords":"Track circuit; Track (disk drive); Condition monitoring; Computer science; Electronic circuit; Electrical engineering; Electronic engineering; Reliability engineering; 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":[0.002447622,0.0006078925,0.0007490752,0.003059236,0.0004552289,0.002194045,0.001920772,0.001683463,0.007996698],"category_scores_gemma":[0.004507188,0.0004561669,0.0004867762,0.002555333,0.0008130434,0.003421205,0.001140986,0.002070886,0.002193998],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008906357,"about_ca_system_score_gemma":0.0009813977,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003138894,"about_ca_topic_score_gemma":0.002350681,"domain_scores_codex":[0.9980283,0.0003340307,0.00009277403,0.0005492653,0.0008858473,0.0001096149],"domain_scores_gemma":[0.9940037,0.001943555,0.0004222694,0.0006142886,0.002797992,0.0002181716],"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":[0.0001450738,0.0001947654,0.005308243,0.0004350107,0.00003300347,0.0001410908,0.000187063,0.00650027,0.02305556,0.02839306,0.01088904,0.9247179],"study_design_scores_gemma":[0.00007529611,0.001312215,0.0247762,0.0008095457,0.0002127621,0.00300831,0.0003335614,0.1330556,0.0677285,0.0233811,0.7450298,0.0002771349],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02665786,0.03322256,0.8460068,0.004902623,0.001548853,0.0004334721,0.0008135969,0.003852255,0.08256206],"genre_scores_gemma":[0.2570654,0.03767711,0.657572,0.001581831,0.004133765,0.0003111446,0.001134769,0.0003427844,0.04018135],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007996698,"threshold_uncertainty_score":0.02675164,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02440421566463978,"score_gpt":0.2082512423030952,"score_spread":0.1838470266384554,"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."}}