{"id":"W2269598916","doi":"","title":"Impact of Winter Road Conditions on Highway Speed and Volume","year":2014,"lang":"en","type":"dissertation","venue":"UWSpace (University of Waterloo)","topic":"Smart Materials for Construction","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Transport engineering; Environmental science; Volume (thermodynamics); Traffic volume; Engineering; Civil engineering; Physics; Thermodynamics","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0000724823,0.0001731222,0.0003062167,0.0001245566,0.00009457114,0.00001055459,0.0001688148,0.0001779063,0.003609059],"category_scores_gemma":[0.000007967406,0.0001828555,0.0001433423,0.00007778049,0.000245865,0.0001722868,0.00005557503,0.00009359198,0.0003058681],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001216555,"about_ca_system_score_gemma":0.00001304643,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0667051,"about_ca_topic_score_gemma":0.01791574,"domain_scores_codex":[0.9992214,0.00004793449,0.0001098462,0.0002692483,0.0001990377,0.0001524614],"domain_scores_gemma":[0.9993996,0.00001238472,0.000263975,0.0002277878,0.00002261321,0.00007364594],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00152957,0.0003337919,0.484325,0.0003632803,0.0005397458,0.00002815462,0.05541376,0.001361341,0.4268036,0.0001369162,0.02558044,0.003584416],"study_design_scores_gemma":[0.0005009867,0.0003632524,0.991483,0.00009396713,0.000103825,0.000004353471,0.004211985,0.0001505181,0.002616699,0.0001054944,0.0001567462,0.000209117],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982148,0.000002653495,0.000001662079,0.0000548617,0.0002970502,0.0001647144,0.0001024989,0.00002431492,0.001137406],"genre_scores_gemma":[0.9420115,0.000009231896,0.0001232504,0.000003107243,0.00001887087,1.159869e-7,0.0003166471,0.000014179,0.05750304],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5071581,"threshold_uncertainty_score":0.9997404,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005806433238154425,"score_gpt":0.2014300123072596,"score_spread":0.1956235790691052,"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."}}