{"id":"W1967106433","doi":"10.3141/2294-06","title":"Methodologies for Estimating Effective Performance Grade of Asphalt Binders in Mixtures with High Recycled Asphalt Pavement Content","year":2012,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Asphalt Pavement Performance Evaluation","field":"Engineering","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Federal Highway Administration","keywords":"Asphalt; Asphalt pavement; Cracking; Materials science; Composite material; Mortar; Rut; Geotechnical engineering; Engineering","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":[],"consensus_categories":[],"category_scores_codex":[0.009057612,0.0002774494,0.0005650156,0.001003655,0.0002591456,0.00003776123,0.0005649902,0.0001610262,0.00005475636],"category_scores_gemma":[0.0001893878,0.0001999523,0.0001962398,0.001402458,0.000350055,0.001072273,0.000005218902,0.001184076,0.000002085282],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004251817,"about_ca_system_score_gemma":0.0002099612,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001639793,"about_ca_topic_score_gemma":0.003543721,"domain_scores_codex":[0.9938838,0.0009231154,0.00143511,0.0002489882,0.002512929,0.0009960443],"domain_scores_gemma":[0.9952368,0.002029283,0.0004581822,0.0003053411,0.00175486,0.0002155679],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00262382,0.0004188507,0.6967539,0.002671101,0.000492422,0.00001086769,0.007817999,0.202259,0.04213996,0.00093287,0.0007164307,0.04316276],"study_design_scores_gemma":[0.003371953,0.001300993,0.8544554,0.0008645233,0.00008500493,4.183359e-7,0.001943462,0.01046401,0.1264154,0.0006818342,0.0001894421,0.0002275597],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9490146,0.0004213427,0.04739769,0.0003474134,0.0006203364,0.002110198,0.00003208548,0.00003238651,0.00002396151],"genre_scores_gemma":[0.9555939,0.000525106,0.04310462,0.00001525657,0.0001455956,0.0004913642,0.00002591132,0.00005975816,0.00003843216],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.191795,"threshold_uncertainty_score":0.8153818,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1880577333271791,"score_gpt":0.4051942654715063,"score_spread":0.2171365321443272,"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."}}