{"id":"W613700408","doi":"","title":"Ontario's Move to Hot Mix Asphalt Pavement Smoothness Acceptance Using High Speed Inertial Profilers","year":2013,"lang":"en","type":"article","venue":"2013 CONFERENCE AND EXHIBITION OF THE TRANSPORTATION ASSOCIATION OF CANADA - TRANSPORTATION: BETTER - FASTER - SAFER","topic":"Infrastructure Maintenance and Monitoring","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Smoothness; Asphalt; International Roughness Index; Ride quality; Surface finish; Engineering; Asphalt pavement; Transport engineering; Automotive engineering; Mechanical engineering; Mathematics; Geography; Cartography","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":[0.004710075,0.0003985532,0.000267338,0.001439157,0.001099849,0.001965158,0.001381179,0.0004803533,0.002861711],"category_scores_gemma":[0.007486053,0.000363557,0.0004658887,0.0017988,0.0007278229,0.001143245,0.0009996803,0.0007958342,0.000636237],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0114245,"about_ca_system_score_gemma":0.01297886,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7844123,"about_ca_topic_score_gemma":0.8781403,"domain_scores_codex":[0.9950388,0.0003440827,0.0001275213,0.0003828743,0.003812593,0.0002941389],"domain_scores_gemma":[0.9888493,0.0009133723,0.0005228463,0.0004628765,0.00889023,0.0003613844],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0005268417,0.0004099304,0.2586226,0.0003214342,0.00007436319,0.0002985532,0.005323083,0.0123919,0.04333104,0.008589284,0.03162202,0.6384889],"study_design_scores_gemma":[0.0001031064,0.00107894,0.7296641,0.0001470961,0.00009292765,0.0002233328,0.005245643,0.07191014,0.03730296,0.00137612,0.1526233,0.0002322457],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7935563,0.0007458745,0.1249785,0.004417972,0.0001869605,0.001017839,0.00241359,0.002298398,0.07038458],"genre_scores_gemma":[0.839147,0.0005620306,0.1327754,0.0003098399,0.00004304375,0.0001654148,0.001708993,0.0002503828,0.02503807],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2155877,"threshold_uncertainty_score":0.4337147,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007862696365208168,"score_gpt":0.1861311764245663,"score_spread":0.1782684800593581,"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."}}