{"id":"W628182453","doi":"","title":"CN : A CULTURE OF PRECISION","year":2004,"lang":"en","type":"article","venue":"Progressive railroading","topic":"Transport and Economic Policies","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Train; Terminal (telecommunication); DOCK; Transport engineering; Track (disk drive); Scheduling (production processes); Freight trains; Rail transit; Computer science; Operations research; Engineering; Telecommunications; Operations management; Operating system; Marine engineering; Geography","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":[0.006683693,0.0005759106,0.0003380648,0.001129181,0.01440122,0.01231192,0.001310946,0.00207953,0.006575846],"category_scores_gemma":[0.009407397,0.0002768615,0.0001892487,0.002639881,0.03240753,0.007144562,0.007890846,0.005832383,0.0009028491],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03853406,"about_ca_system_score_gemma":0.03392642,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3474503,"about_ca_topic_score_gemma":0.2574188,"domain_scores_codex":[0.9880067,0.002697106,0.0003668697,0.001838538,0.005603297,0.001487438],"domain_scores_gemma":[0.992183,0.001395292,0.0008866367,0.001329527,0.003011425,0.001194119],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002650468,0.00002060075,0.001726445,0.00006732114,0.000008077376,0.0001751421,0.0976662,0.0004303444,0.0005571246,0.8443384,0.02870534,0.02627842],"study_design_scores_gemma":[0.000008031299,0.00002788962,0.001763826,0.0001474428,0.000006556693,0.0002301491,0.02282575,0.0005274157,0.00031149,0.05844582,0.9156551,0.00005049758],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.06521343,0.001506492,0.01514076,0.04086151,0.0007473245,0.0001147398,0.0001582496,0.0001671114,0.8760902],"genre_scores_gemma":[0.8595217,0.001340743,0.004701824,0.008081688,0.000112993,0.0001058241,0.00009479719,0.0001308416,0.1259096],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3474503,"threshold_uncertainty_score":0.6908557,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01560400744105245,"score_gpt":0.2343392233054211,"score_spread":0.2187352158643686,"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."}}