{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001603707,0.0001933746,0.0002367253,0.0001318407,0.0001813589,0.000246822,0.0001384419,0.00009234456,0.001211726],"category_scores_gemma":[0.00002938112,0.0001640912,0.00006632056,0.00009550468,0.00008719436,0.0006182473,0.00002471906,0.0001080783,0.0002133681],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009916373,"about_ca_system_score_gemma":0.00001256625,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000271243,"about_ca_topic_score_gemma":0.0001240202,"domain_scores_codex":[0.9991287,0.000006768576,0.0002192625,0.0002333621,0.0000880536,0.0003238538],"domain_scores_gemma":[0.9996472,0.00004652171,0.00009003804,0.0001622134,0.00002647881,0.00002756337],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01633643,0.0003446204,0.3990907,0.000542019,0.0006702167,0.0006292677,0.003476517,0.0004323381,0.06999599,0.1690056,0.1619258,0.1775506],"study_design_scores_gemma":[0.0005915381,0.000009538356,0.5076184,0.000007521807,0.00002660724,0.0000141425,0.00005651613,0.0001629032,0.0000695881,0.004148475,0.487084,0.0002107817],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9852033,0.0002989813,0.000007606769,0.001221635,0.0002310497,0.0001165258,0.00001259842,0.0001334645,0.01277485],"genre_scores_gemma":[0.9950729,0.00003500833,0.00003539657,0.001645614,0.0009587153,0.00000396001,0.0000271022,0.0000219366,0.002199393],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3251582,"threshold_uncertainty_score":0.9997013,"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."}}