{"id":"W3081207472","doi":"10.1007/s42947-020-0059-3","title":"Improved performance grading of asphalt cement and hot mix asphalt in Ontario, Canada","year":2020,"lang":"en","type":"article","venue":"International Journal of Pavement Research and Technology","topic":"Asphalt Pavement Performance Evaluation","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"","keywords":"Asphalt; Asphalt pavement; Waste management; Cracking; Cement; Engineering; Forensic engineering; Civil engineering; Environmental science; Materials science; Composite material","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":[0.0006443412,0.0003126117,0.0003708137,0.001198144,0.002522962,0.001259578,0.000906067,0.0003399628,0.002387049],"category_scores_gemma":[0.0009956519,0.0002457542,0.0002590389,0.00161852,0.0006134365,0.0003559367,0.0003308122,0.0003574784,0.0004165572],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03388587,"about_ca_system_score_gemma":0.03001693,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.991839,"about_ca_topic_score_gemma":0.9983902,"domain_scores_codex":[0.9987048,0.00004975684,0.00003850999,0.0001270657,0.0009104594,0.000169506],"domain_scores_gemma":[0.9979169,0.00005711643,0.00009385223,0.000042688,0.00168341,0.0002060808],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003857188,0.001207698,0.4479507,0.0005462508,0.0001983998,0.001196772,0.006570757,0.02038234,0.2821426,0.002705493,0.01026025,0.2229815],"study_design_scores_gemma":[0.00006456295,0.0005861815,0.9344569,0.00003095838,0.00008360772,0.00009417103,0.00231274,0.007447382,0.03339291,0.0001474833,0.02132798,0.00005525596],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9871212,0.0001448929,0.0006794649,0.00009351775,0.00001292393,0.00008893841,0.000748778,0.00006757772,0.01104281],"genre_scores_gemma":[0.9769108,0.0001464064,0.00181492,0.00002709403,0.000002866137,0.00001612054,0.0006786023,0.00002330579,0.02037986],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03388587,"threshold_uncertainty_score":0.2458603,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0381610473476244,"score_gpt":0.2911697852830488,"score_spread":0.2530087379354244,"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."}}