{"id":"W629668786","doi":"","title":"Fleet Stats 2011: Creeping Back to Life","year":2011,"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":"Transport engineering; Quarter (Canadian coin); Engineering; Fleet management; Rail freight transport; Business; 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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002343923,0.0002354321,0.0002774611,0.0002995191,0.0002117249,0.0002092735,0.0003499606,0.00006471619,0.003835205],"category_scores_gemma":[0.00005714677,0.0002317327,0.00009773784,0.0001994967,0.00006170812,0.00126381,0.0001491139,0.0001162321,0.008040042],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002885746,"about_ca_system_score_gemma":0.00002166724,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005221196,"about_ca_topic_score_gemma":0.00006898921,"domain_scores_codex":[0.9985671,0.000004883243,0.0003396912,0.0003601966,0.0001235676,0.0006045498],"domain_scores_gemma":[0.9993734,0.00001680137,0.0002084537,0.000239748,0.00009164825,0.0000699018],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004242314,0.0003362229,0.7991565,0.0007163939,0.0003882178,0.0001356117,0.00659327,0.0001004213,0.001171601,0.04857993,0.0846414,0.05775615],"study_design_scores_gemma":[0.002370152,0.00008496024,0.4101567,0.0006459822,0.0002415647,0.00001242971,0.002194917,0.00209308,0.002028376,0.00848983,0.5691907,0.002491369],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8103298,0.0004174779,0.0007145394,0.0009568537,0.0008387905,0.0005702833,0.00000658515,0.0003402072,0.1858255],"genre_scores_gemma":[0.9925829,0.00000622421,0.001683418,0.003767775,0.001289834,0.00005589605,0.0000158965,0.00005158443,0.0005464806],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4845493,"threshold_uncertainty_score":0.9970754,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05950109602986423,"score_gpt":0.2405834811323248,"score_spread":0.1810823851024606,"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."}}