{"id":"W4387983998","doi":"10.1080/10298436.2023.2268792","title":"Collective influence of autonomous trucks and climate change on asphalt concrete pavement performance","year":2023,"lang":"en","type":"article","venue":"International Journal of Pavement Engineering","topic":"Infrastructure Maintenance and Monitoring","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Rut; Climate change; Fatigue cracking; Environmental science; Truck; Asphalt pavement; Effects of global warming; Asphalt; Cracking; Global warming; Civil engineering; Computer science; Engineering; Automotive engineering; Geology; Geography; Materials science","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":[0.0003973305,0.0002463,0.0002186211,0.0002558668,0.0005135628,0.0006074932,0.0002276266,0.0002602763,0.0007245268],"category_scores_gemma":[0.0006471811,0.0001081236,0.0002889222,0.0002421788,0.0004392189,0.0002472996,0.0004490566,0.0001651246,0.0001598666],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001560408,"about_ca_system_score_gemma":0.0008130686,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1248254,"about_ca_topic_score_gemma":0.3036215,"domain_scores_codex":[0.9996243,0.00005915204,0.00001052355,0.00007923455,0.0001341267,0.00009262759],"domain_scores_gemma":[0.9995326,0.0001045764,0.00009356699,0.0000398022,0.0001546527,0.00007485666],"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":[0.0004739863,0.000144463,0.8916709,0.00004520832,0.0001870118,0.0004046666,0.0007176206,0.0458665,0.03735578,0.0001660998,0.000231984,0.02273585],"study_design_scores_gemma":[0.000003126222,0.0002684332,0.9855839,0.000002638844,0.00003940051,0.00006132697,0.0006478603,0.009813352,0.003031765,0.00004796503,0.0004866764,0.00001370009],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992241,0.00001768876,0.0001516684,0.000006091847,0.000001458802,0.000002701177,0.00003829136,0.000003808256,0.0005542367],"genre_scores_gemma":[0.9996814,0.00001306334,0.00006828504,0.000001344287,5.900009e-7,0.000001161425,0.00003346584,0.000001437876,0.0001992488],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1248254,"threshold_uncertainty_score":0.2481977,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009761839164137453,"score_gpt":0.2270923316160235,"score_spread":0.217330492451886,"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."}}