{"id":"W2781781069","doi":"10.1139/cjce-2017-0046","title":"Investigation of significant inputs for pavement rehabilitation design in the Pavement-ME","year":2018,"lang":"en","type":"article","venue":"Canadian Journal of Civil Engineering","topic":"Asphalt Pavement Performance Evaluation","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Michigan Department of Transportation; U.S. Department of Transportation","keywords":"Asphalt pavement; Rehabilitation; Pavement engineering; Asphalt; Environmental science; Engineering; Driver rehabilitation; Civil engineering; Computer science; Geotechnical engineering; Transport engineering; Materials science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001795419,0.0001134717,0.0001527009,0.0004280851,0.00003768517,0.00002346577,0.0001840104,0.00004766339,0.00003442998],"category_scores_gemma":[0.0001816459,0.0001016987,0.00004865534,0.0002934372,0.00004141363,0.0002635924,0.000002755218,0.0001143198,0.000001701099],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000294241,"about_ca_system_score_gemma":0.0002237705,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000555784,"about_ca_topic_score_gemma":0.005700383,"domain_scores_codex":[0.9988889,0.00003858344,0.0005467664,0.0000695004,0.0002184408,0.0002378445],"domain_scores_gemma":[0.9992406,0.0001945699,0.0001211685,0.0001278557,0.0001970051,0.000118743],"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":[0.000008900135,0.000006902707,0.006605093,0.0002995321,0.00005902761,0.000003059016,0.009815412,0.9161884,0.06323268,0.0005053651,0.002507704,0.000767935],"study_design_scores_gemma":[0.001738388,0.001602211,0.04659845,0.0008238002,0.00008436243,0.00001036811,0.001070724,0.8596826,0.08355514,0.001403075,0.003003675,0.0004272481],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5988528,0.000199211,0.3991217,0.0003294993,0.0007019967,0.0006877432,0.000007879044,0.00001577338,0.00008342604],"genre_scores_gemma":[0.9948018,0.000007019269,0.00489095,0.00004812505,0.0001914387,0.0000323713,0.00000459896,0.00002086969,0.000002866292],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3959489,"threshold_uncertainty_score":0.4147153,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02593003313769427,"score_gpt":0.2240148073078429,"score_spread":0.1980847741701486,"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."}}