{"id":"W748766242","doi":"","title":"MODELING FLEXIBLE PAVEMENT PERFORMANCE USING CANADIAN HISTORIC DATA","year":2002,"lang":"en","type":"article","venue":"Ninth International Conference on Asphalt PavementsInternational Society for Asphalt Pavements","topic":"Asphalt Pavement Performance Evaluation","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pavement management; Christian ministry; Transport engineering; Engineering; Range (aeronautics); Judgement; Civil engineering; Process (computing); Computer science; Operations research","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00117613,0.0009208319,0.0004507136,0.001726572,0.001066845,0.001437377,0.001748768,0.0005359476,0.001503294],"category_scores_gemma":[0.003114903,0.0004590564,0.0007271382,0.003181275,0.0005318502,0.0007319524,0.0004736382,0.0006243578,0.0003154264],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0151344,"about_ca_system_score_gemma":0.01133775,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9752848,"about_ca_topic_score_gemma":0.9746706,"domain_scores_codex":[0.9993826,0.00006335261,0.00002435943,0.0001449079,0.0002247234,0.0001600653],"domain_scores_gemma":[0.998935,0.000213953,0.00009182806,0.0001415117,0.0005482046,0.00006945004],"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":[0.00005245299,0.00003614005,0.02563237,0.00004157022,0.00004368357,0.00006392353,0.00007534899,0.9525016,0.0004832771,0.001420603,0.001166199,0.018483],"study_design_scores_gemma":[0.00001332748,0.00002308425,0.0330729,0.00001074815,0.00002697137,0.00001800766,0.00008809379,0.9619622,0.0008408522,0.0006288173,0.003274705,0.00004025215],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9320396,0.000425254,0.03378208,0.0003540216,0.00004647253,0.0001804641,0.02243257,0.001215063,0.00952448],"genre_scores_gemma":[0.9729167,0.0002920357,0.01309545,0.00001678591,0.000007797303,0.00007033706,0.01117226,0.00007118763,0.002357482],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02471519,"threshold_uncertainty_score":0.1098082,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2099299876121588,"score_gpt":0.3311857532575138,"score_spread":0.121255765645355,"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."}}