{"id":"W4410129783","doi":"10.1186/s43065-025-00130-6","title":"A case study on developing asphalt mix performance grading (Mix-PG) system in Ontario","year":2025,"lang":"en","type":"article","venue":"Journal of Infrastructure Preservation and Resilience","topic":"Asphalt Pavement Performance Evaluation","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; University of Waterloo","funders":"","keywords":"Asphalt; Asphalt pavement; Grading (engineering); Engineering; Civil engineering; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006448211,0.0001463147,0.0002130682,0.000403125,0.0001200681,0.00005856348,0.000158054,0.00006650078,0.000008326275],"category_scores_gemma":[0.00004848777,0.0001211839,0.00002120441,0.0003902769,0.00002002162,0.0008096422,0.00003584495,0.0004305535,6.672599e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006078237,"about_ca_system_score_gemma":0.0001768358,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002376453,"about_ca_topic_score_gemma":0.001781482,"domain_scores_codex":[0.9987112,0.00004948488,0.0006222043,0.0001261587,0.0003221636,0.0001688212],"domain_scores_gemma":[0.9994493,0.00005999009,0.0001782515,0.0001286677,0.0001404702,0.00004335393],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005569965,0.00002025212,0.6815134,0.0002597676,0.000037949,0.000161839,0.004702531,0.3051057,0.000695401,0.0001693813,0.0001085136,0.007169592],"study_design_scores_gemma":[0.001084009,0.0001781182,0.8427433,0.0007045486,0.00002237778,0.0004138502,0.003749063,0.1495613,0.001162061,0.00005641707,0.0001861226,0.000138883],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9927747,0.00009667422,0.005722698,0.00003944152,0.0005297666,0.000306778,2.547997e-7,0.00002420172,0.0005054465],"genre_scores_gemma":[0.9981897,0.00002963177,0.001629288,0.00004660354,0.000034864,0.000008643634,5.8862e-7,0.000007389443,0.00005326398],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1612299,"threshold_uncertainty_score":0.4941738,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01852452453460091,"score_gpt":0.2614826258182476,"score_spread":0.2429581012836467,"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."}}