{"id":"W7055463378","doi":"","title":"Cold weather train speed optimization based on stress-strength approach","year":2009,"lang":"en","type":"article","venue":"NPARC","topic":"Laser Design and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Track (disk drive); Head (geology); Residual; Stress (linguistics); Foundation (evidence); Range (aeronautics); Cold weather; Stochastic modelling","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00003907446,0.00009073068,0.00007376959,0.00004278753,0.00003170148,0.00002530771,0.00008405082,0.00004948611,0.0003520755],"category_scores_gemma":[0.000003982324,0.00008682929,0.00002844299,0.0001407702,0.000008550061,0.0000356388,0.000001635462,0.00007566703,0.00002230819],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002702696,"about_ca_system_score_gemma":0.000007383864,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":6.371445e-7,"about_ca_topic_score_gemma":3.08808e-7,"domain_scores_codex":[0.999564,0.00001043906,0.00008813049,0.0001140457,0.00009788556,0.0001255307],"domain_scores_gemma":[0.9997259,0.000017297,0.00001097197,0.0001835223,0.0000107778,0.00005149287],"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":[0.000003901409,0.0001051047,0.00000955455,0.000006722872,0.00000418544,5.696681e-7,0.00003360823,0.963339,0.01910513,0.002335828,0.01370234,0.001354097],"study_design_scores_gemma":[0.0003044118,0.00002535205,0.0001081999,0.000008780757,0.000006688287,2.217033e-7,0.000009926157,0.9848034,0.01177028,0.0001781831,0.002679492,0.0001051066],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.00324922,0.00001198048,0.4466269,0.0007003419,0.00004703975,0.0003962718,0.00008612828,0.0006356513,0.5482464],"genre_scores_gemma":[0.960955,0.000003933109,0.03757431,0.0002155011,0.00006712251,0.00001612546,0.0000828435,0.00001930269,0.001065896],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9577057,"threshold_uncertainty_score":0.385498,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01225608647396628,"score_gpt":0.2042782541301189,"score_spread":0.1920221676561526,"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."}}