{"id":"W598638581","doi":"","title":"FINDING THE RIGHT PROFILE","year":2000,"lang":"en","type":"article","venue":"Railway age","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Grinding; Transport engineering; Engineering; Rail transit; Transit (satellite); State (computer science); Business; Computer science; Public transport; Mechanical engineering","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":[0.002941494,0.0007119882,0.0006012789,0.00158613,0.003656461,0.004071601,0.001338087,0.002151517,0.05519135],"category_scores_gemma":[0.01225057,0.0006799588,0.0007196204,0.0008288205,0.001221436,0.009320587,0.003489838,0.002070988,0.04038981],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001337585,"about_ca_system_score_gemma":0.003672368,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003050197,"about_ca_topic_score_gemma":0.008364653,"domain_scores_codex":[0.9970375,0.0004875467,0.0001897053,0.0006285894,0.001230318,0.0004264207],"domain_scores_gemma":[0.9970317,0.0002841085,0.0002313344,0.000610329,0.001317808,0.0005248671],"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":[0.0001613302,0.0002866446,0.01083877,0.0002127918,0.00001859149,0.0009003485,0.003375023,0.001172006,0.009907609,0.04094973,0.1004633,0.8317139],"study_design_scores_gemma":[0.00005760771,0.0004304522,0.007462517,0.0008270375,0.00006331695,0.004436601,0.0164075,0.007859021,0.01785292,0.07723253,0.8671786,0.0001919448],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.07354036,0.001774576,0.5290418,0.03480306,0.003730858,0.0009702299,0.001092153,0.005046789,0.3500003],"genre_scores_gemma":[0.3104062,0.002022908,0.4036358,0.004987443,0.000555571,0.0003841081,0.001402026,0.002955195,0.2736509],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.05519135,"threshold_uncertainty_score":0.1846335,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005637887687681734,"score_gpt":0.1911818357328207,"score_spread":0.185543948045139,"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."}}