{"id":"W7132476433","doi":"","title":"Implementing 100% effective gauge-face lubrication and TOR friction management strategies on MRS heavy haul railroad","year":2009,"lang":"en","type":"article","venue":"NPARC","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Lubrication; Earnings; Presentation (obstetrics); Business management; Strategic management","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":[0.000125206,0.0001470435,0.0001107114,0.00009912508,0.00008527569,0.00007628032,0.00005674711,0.00004638244,0.00001312554],"category_scores_gemma":[0.000005067242,0.0001558435,0.00002804749,0.0001319655,0.000007480853,0.0001421163,0.00001293458,0.0001107742,0.00001523878],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009630449,"about_ca_system_score_gemma":0.000002785609,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005195723,"about_ca_topic_score_gemma":0.000003469784,"domain_scores_codex":[0.9992952,0.00001169056,0.0001351843,0.0001709552,0.0001195898,0.0002673786],"domain_scores_gemma":[0.9997399,0.00002673733,0.00002074978,0.0001501412,0.0000137705,0.0000486993],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004110796,0.00006808156,0.0001351071,0.000248681,0.0001398222,0.00001232116,0.001002816,0.2559828,0.03281967,0.05126123,0.002835547,0.6554528],"study_design_scores_gemma":[0.001300393,0.0005367291,0.07908926,0.0001909388,0.00009385238,0.00001406334,0.001445666,0.8788596,0.007522301,0.01020905,0.01987514,0.0008629613],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7705936,0.0001787854,0.1356962,0.0002112232,0.0003543611,0.0005547913,0.00001307599,0.0008412484,0.09155668],"genre_scores_gemma":[0.9966159,0.0001188493,0.002957807,0.00002379525,0.00006906442,0.00002878763,0.00001913042,0.00001918281,0.0001475154],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6545899,"threshold_uncertainty_score":0.6355114,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00458506084551884,"score_gpt":0.2179190871430948,"score_spread":0.2133340262975759,"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."}}