{"id":"W585643811","doi":"","title":"MONTANA MUSCLE : \"GOOD OLD GIRLS\" - IT'S LAST-ROUNDUP TIME FOR MRL'S 20-CYLINDER SD45S, THE LARGEST FLEET IN THE LAND","year":2005,"lang":"en","type":"article","venue":"Trains","topic":"Engineering Applied Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Engineering; Work (physics); Aeronautics; Forensic engineering; History; Mechanical engineering","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":[0.0006776523,0.0001991629,0.0001729803,0.00008379934,0.0001087963,0.00008015445,0.0004931305,0.0001192593,0.0000968302],"category_scores_gemma":[0.00003351531,0.0001334854,0.0000785648,0.000265363,0.00004014767,0.00009284294,0.00002848368,0.0004814871,0.0001688313],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001059152,"about_ca_system_score_gemma":0.00002548776,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004581579,"about_ca_topic_score_gemma":0.001712762,"domain_scores_codex":[0.9987088,0.00003205126,0.0002119779,0.0001935811,0.0002843767,0.0005692247],"domain_scores_gemma":[0.9991273,0.0003366305,0.00001450052,0.000434201,0.00002012533,0.00006721733],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003959633,0.0003984254,0.001291678,0.0002942685,0.0002661425,0.00004414607,0.01050301,0.8655592,0.01478809,0.006149519,0.07608034,0.02458559],"study_design_scores_gemma":[0.002733095,0.0001025738,0.06614053,0.00005946958,0.00004718824,0.00002642207,0.0006341223,0.4898316,0.0009504071,0.000244216,0.4385363,0.0006941205],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9476894,0.0007036448,0.003250812,0.010309,0.0002542249,0.001820098,0.0001635321,0.0006127748,0.03519654],"genre_scores_gemma":[0.9973873,0.00002947311,0.0006346264,0.0002789736,0.0003577677,0.000218227,0.00002806396,0.00007333946,0.0009922432],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3757276,"threshold_uncertainty_score":0.5443375,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0176481367139332,"score_gpt":0.2479445837654174,"score_spread":0.2302964470514842,"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."}}