{"id":"W1963911347","doi":"10.3141/1821-01","title":"Thermal Aspect of Frost-Thaw Pavement Dimensioning: In Situ Measurement and Numerical Modeling","year":2003,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministère des Transports","funders":"Ministère des Transports","keywords":"Dimensioning; Environmental science; Asphalt; Geotechnical engineering; Rubble; Instrumentation (computer programming); Frost (temperature); Pavement engineering; Asphalt concrete; Thermal; Geology; Civil engineering; Engineering; Meteorology; Computer science; Materials science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002836956,0.000522966,0.0003705402,0.00061639,0.0003229303,0.0005823689,0.000848664,0.000561755,0.0006469557],"category_scores_gemma":[0.0003931644,0.0002842579,0.000337255,0.0007489438,0.0003282305,0.0004062031,0.0001638528,0.0002832534,0.0002193851],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002523652,"about_ca_system_score_gemma":0.0007320093,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1643835,"about_ca_topic_score_gemma":0.1538783,"domain_scores_codex":[0.9998617,0.00001722308,0.00000703364,0.00004432342,0.00004730733,0.00002237651],"domain_scores_gemma":[0.9998166,0.00005779974,0.00002539298,0.00003105059,0.00005590919,0.00001328072],"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":[0.0001611008,0.0003138765,0.04636672,0.0001264131,0.00004107355,0.0001184018,0.0003032805,0.8482611,0.08120386,0.000437326,0.0004127347,0.02225404],"study_design_scores_gemma":[0.00000862553,0.00002994271,0.02446038,0.000003894077,0.00001032719,0.00001649528,0.00003944232,0.9643685,0.01073748,0.00004852696,0.0002642448,0.00001219607],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9756584,0.00009908373,0.02066937,0.00003352073,0.0000052393,0.00004768178,0.0007058523,0.0004017639,0.002379203],"genre_scores_gemma":[0.9944355,0.00008202155,0.004678326,0.000002688691,0.000001923613,0.00002686952,0.0003075989,0.00001847319,0.0004465898],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1643835,"threshold_uncertainty_score":0.3268533,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1703657931320745,"score_gpt":0.3441598216014211,"score_spread":0.1737940284693466,"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."}}