{"id":"W582689893","doi":"","title":"RAILROAD M/W BUDGETS TRENDING UPWARD","year":2004,"lang":"en","type":"article","venue":"Railway track and structures","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Track (disk drive); Engineering; Transport engineering; Rail transportation; Rail network; Railway system; Capital (architecture); Geography; Archaeology","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":[],"consensus_categories":[],"category_scores_codex":[0.0000507498,0.000242184,0.0002172587,0.000117133,0.00009290143,0.0000723453,0.0001087653,0.000126956,0.00002721625],"category_scores_gemma":[0.00001569987,0.0002229639,0.00006358619,0.0001246455,0.00004645983,0.0001215776,0.00001556826,0.0002212768,0.00001030913],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004658418,"about_ca_system_score_gemma":0.000009994065,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001076476,"about_ca_topic_score_gemma":0.00001583112,"domain_scores_codex":[0.9991463,0.000005665546,0.0001851358,0.000202007,0.0001290166,0.0003318964],"domain_scores_gemma":[0.9996306,0.00002403366,0.00001576071,0.0001774447,0.00001278665,0.0001393439],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.00001681187,0.00001474061,0.0003940598,0.0002097911,0.0001302414,0.00005147877,0.001634542,0.8808954,0.0110171,0.02871188,0.0005164329,0.0764075],"study_design_scores_gemma":[0.01627792,0.000824056,0.3503294,0.0006366788,0.0004784555,0.001812689,0.001640802,0.2041388,0.07872202,0.2202889,0.116264,0.008586177],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9827554,0.002068946,0.007779389,0.00005741374,0.0007541711,0.00008576061,0.00003137715,0.0008023765,0.005665168],"genre_scores_gemma":[0.9956543,0.0002793155,0.003698388,0.00002703589,0.0001646476,0.000005593446,0.00001661838,0.00004731968,0.0001067671],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6767566,"threshold_uncertainty_score":0.9092204,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005503907434748711,"score_gpt":0.1996718005678843,"score_spread":0.1941678931331356,"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."}}