{"id":"W2347182880","doi":"","title":"Research to Identify Advanced Asphalt Technology to Address Shear Distresses on Airside Facilities","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":"Asphalt Pavement Performance Evaluation","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Asphalt; International airport; Engineering; Asphalt pavement; Transport engineering; Civil engineering; Forensic engineering; Geography","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":[0.000861893,0.0007406076,0.0005382865,0.001901448,0.0003788827,0.001545594,0.000758875,0.0008928053,0.002951623],"category_scores_gemma":[0.001167207,0.0002551358,0.0007505804,0.001205316,0.0002912703,0.002066501,0.0004378291,0.0007342867,0.0009695233],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007852161,"about_ca_system_score_gemma":0.001283295,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002343645,"about_ca_topic_score_gemma":0.004610152,"domain_scores_codex":[0.9991783,0.000131026,0.00003963819,0.0001397247,0.0003646966,0.0001465053],"domain_scores_gemma":[0.9988686,0.0001169043,0.0003096873,0.00005844367,0.0005480918,0.00009829154],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0002534853,0.001373114,0.01754756,0.003773725,0.0001194257,0.0006806721,0.0003992595,0.008783713,0.57579,0.004331549,0.002363449,0.384584],"study_design_scores_gemma":[0.00008369895,0.008109426,0.0786876,0.002007501,0.0006796099,0.002255688,0.004752796,0.02760836,0.7161357,0.003804097,0.1557303,0.0001451816],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8387166,0.04968042,0.08151679,0.001785133,0.0004751278,0.0007754947,0.0003855379,0.0004047564,0.02626019],"genre_scores_gemma":[0.8704305,0.03862082,0.07787607,0.0004799156,0.00009920019,0.0002046381,0.0004430391,0.00005703747,0.01178872],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9976563,"threshold_uncertainty_score":0.009874165,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02266104061905125,"score_gpt":0.3031431576360154,"score_spread":0.2804821170169641,"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."}}