{"id":"W1001720814","doi":"","title":"Development of an automated routing and pavement damage prediction program for superheavy trucks","year":2005,"lang":"en","type":"article","venue":"scholarworks - UTEP (The University of Texas at El Paso)","topic":"Engineering Applied Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Truck; Routing (electronic design automation); Computer science; Environmental science; Engineering; Automotive 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003929059,0.0004653457,0.0004403841,0.0005782452,0.0003939506,0.0005186761,0.0009868324,0.0003161842,0.003114102],"category_scores_gemma":[0.001245044,0.0003799961,0.0003371901,0.0003960599,0.0001892118,0.0007619559,0.0003287632,0.0003959068,0.0007827134],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005938064,"about_ca_system_score_gemma":0.001770081,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01618345,"about_ca_topic_score_gemma":0.01288997,"domain_scores_codex":[0.9997709,0.00003270202,0.00001103475,0.00007940678,0.00008863004,0.00001718809],"domain_scores_gemma":[0.9994984,0.0001558052,0.00005668656,0.00007514757,0.0001898236,0.00002417923],"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":[0.0002471065,0.000377469,0.01246653,0.00009941858,0.00004029866,0.0002266008,0.0003159293,0.5307415,0.0293358,0.003835521,0.005050923,0.4172629],"study_design_scores_gemma":[0.00002522766,0.00007063481,0.001356697,0.000004544208,0.000009126813,0.00002503609,0.0000350219,0.9872718,0.008570287,0.0004841935,0.002136267,0.00001111186],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1867005,0.0000237633,0.7779703,0.00009637876,0.00001885541,0.0005077106,0.0009023932,0.02907054,0.004709627],"genre_scores_gemma":[0.4672129,0.00006188079,0.5254982,0.00002417751,0.000007925698,0.000473999,0.00157424,0.0004623083,0.004684346],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01618345,"threshold_uncertainty_score":0.03217846,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01016117966621511,"score_gpt":0.2405245960358512,"score_spread":0.2303634163696361,"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."}}