{"id":"W2340074571","doi":"","title":"VULNERABILITIES AND DESIGN CONSIDERATIONS FOR PAVEMENT INFRASTRUCTURE IN LIGHT OF CLIMATE CHANGE","year":2015,"lang":"en","type":"article","venue":"TAC 2015: Getting You There Safely - 2015 Conference and Exhibition of the Transportation Association of Canada // ATC: Destination sécurité routière - 2015 Congrès et Exposition de l'Association des transports du Canada","topic":"Smart Materials for Construction","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Climate change; Permafrost; Environmental science; Frost heaving; Frost (temperature); Precipitation; Forensic engineering; Climatology; Geography; Engineering; Meteorology; Geology","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002489204,0.0003404785,0.0005635811,0.0001312648,0.0002954602,0.00006255328,0.000151649,0.0002578117,0.0002779811],"category_scores_gemma":[0.0006231779,0.0003484917,0.00008712037,0.0003059619,0.0001457144,0.0008318615,0.00001779916,0.0002065629,3.553127e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002356047,"about_ca_system_score_gemma":0.00158419,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.3574656,"about_ca_topic_score_gemma":0.9130846,"domain_scores_codex":[0.9960627,0.0005321962,0.001350897,0.0004109099,0.00116151,0.0004817701],"domain_scores_gemma":[0.995964,0.0005717577,0.002106574,0.0002171846,0.0009335877,0.0002069058],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002607745,0.000128477,0.9523585,0.0004141516,0.0001373246,0.000006297716,0.0113736,0.01157312,0.004653552,0.00675827,0.01162694,0.0007089666],"study_design_scores_gemma":[0.003349264,0.0002081866,0.9659832,0.000427555,0.0002478499,0.00001065598,0.003222216,0.00197792,0.01137705,0.010309,0.002278507,0.0006085815],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9859971,0.0001466055,0.001870095,0.008183068,0.0005149589,0.001438441,0.001496339,0.00003664471,0.0003166884],"genre_scores_gemma":[0.9969249,0.0001541776,0.00190589,0.0003595984,0.00005549162,0.0001517453,0.0002819387,0.00003226262,0.0001339975],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.555619,"threshold_uncertainty_score":0.9998967,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01577310907731065,"score_gpt":0.2238940918405612,"score_spread":0.2081209827632506,"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."}}