{"id":"W611428948","doi":"","title":"CPR CONTRACTOR NET BOOSTS RESPONSE TIME","year":2001,"lang":"en","type":"article","venue":"Railway track and structures","topic":"Transport and Economic Policies","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Engineering; Rail network; Hazardous waste; Transport engineering; Order (exchange); Business; Forensic engineering; Finance; Waste management","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":[0.003434185,0.0003421042,0.0002054662,0.001342054,0.0009154141,0.001700902,0.0006859259,0.0008535998,0.1236067],"category_scores_gemma":[0.01898772,0.0001610589,0.0002114341,0.0008610463,0.0002949332,0.001482171,0.001370105,0.001084577,0.0269032],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001530134,"about_ca_system_score_gemma":0.004202653,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01005785,"about_ca_topic_score_gemma":0.01090581,"domain_scores_codex":[0.995503,0.001115181,0.0001466204,0.0002805684,0.002246032,0.0007086467],"domain_scores_gemma":[0.9818626,0.006071284,0.001670715,0.001787913,0.005049439,0.003558078],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00139579,0.002191931,0.02665163,0.0001883352,0.0000253174,0.0002635358,0.0006120053,0.005929203,0.004883629,0.02937923,0.2507397,0.6777397],"study_design_scores_gemma":[0.0005663637,0.002473926,0.08630742,0.0001700924,0.00005620111,0.001010129,0.002729942,0.04754507,0.006628674,0.01306848,0.8393683,0.0000752788],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1917109,0.000687183,0.03129331,0.0176443,0.001803224,0.0007939204,0.001793826,0.006346392,0.7479269],"genre_scores_gemma":[0.7402994,0.0005845113,0.0166738,0.002016254,0.001293284,0.0002586838,0.001399705,0.0006920455,0.2367823],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1236067,"threshold_uncertainty_score":0.4135056,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009702845739769888,"score_gpt":0.2036803470018687,"score_spread":0.1939775012620988,"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."}}