{"id":"W2410444057","doi":"","title":"Effect of the future increases of precipitation on the long-term performance of roads","year":2013,"lang":"en","type":"article","venue":"Proceedings of the international conferences on the bearing capacity of roads, railways and airfields","topic":"Asphalt Pavement Performance Evaluation","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Environmental science; Precipitation; Water content; Soil water; Subgrade; Drainage; Moisture; Climate change; Degree of saturation; Saturation (graph theory); Geotechnical engineering; Soil science; Geology; Geography; Meteorology; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0004637426,0.000348527,0.0001798624,0.0003489898,0.0005297006,0.0007114341,0.0003762835,0.0004210791,0.001306358],"category_scores_gemma":[0.001277414,0.00009551642,0.0003130937,0.0004741004,0.0002863944,0.0003167593,0.0003029766,0.0003883035,0.0001856352],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002565929,"about_ca_system_score_gemma":0.001463779,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3173441,"about_ca_topic_score_gemma":0.3849066,"domain_scores_codex":[0.9997184,0.00003264197,0.00001268234,0.00004726258,0.00009984242,0.00008919178],"domain_scores_gemma":[0.9989436,0.0002370908,0.000213333,0.00006490115,0.0004227611,0.0001184196],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005121866,0.0002061774,0.8712876,0.00007953479,0.0002262773,0.000934443,0.0001318772,0.08896294,0.01883221,0.0002324949,0.0009862944,0.01760798],"study_design_scores_gemma":[0.0000052407,0.0001425599,0.98094,0.0000059981,0.00002778497,0.0000745709,0.0001893679,0.01567919,0.002326623,0.00004089992,0.0005545189,0.00001317058],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.99739,0.00009009901,0.0003455296,0.00006217765,0.000007507538,0.000007983362,0.0009874079,0.00001591081,0.001093422],"genre_scores_gemma":[0.9992577,0.00004516463,0.00009745768,0.000008898941,0.000001917671,0.000003592323,0.0003513918,0.000001984986,0.0002317917],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3173441,"threshold_uncertainty_score":0.630994,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01372297969435237,"score_gpt":0.2172608237369891,"score_spread":0.2035378440426367,"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."}}