{"id":"W568381271","doi":"","title":"Must be Exact: When Done Right, Precision Milling Carries Heavy Benefits in Urban Areas","year":2006,"lang":"en","type":"article","venue":"Roads & bridges/Roads & bridges (Des Plaines, Ill. Online)","topic":"Infrastructure Maintenance and Monitoring","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Drum; Overlay; Engineering; Transport engineering; Civil engineering; Forensic engineering; Engineering drawing; Computer science; Mechanical 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001402351,0.0003906013,0.0002882407,0.0006010809,0.003703231,0.003031352,0.0004556061,0.001280086,0.04016784],"category_scores_gemma":[0.003712491,0.0002953477,0.0001645626,0.0008676738,0.002801091,0.003210138,0.002877549,0.0009490661,0.01948318],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006466906,"about_ca_system_score_gemma":0.001331437,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003704999,"about_ca_topic_score_gemma":0.01403179,"domain_scores_codex":[0.9986807,0.0002275388,0.00006688773,0.0001413205,0.0006614382,0.0002221481],"domain_scores_gemma":[0.9984951,0.0003226195,0.0002110182,0.0002659709,0.0004956784,0.000209565],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001710396,0.0001354613,0.02658092,0.0003812827,0.00001503167,0.001360116,0.01254597,0.0004942784,0.009102567,0.03467458,0.2142437,0.700295],"study_design_scores_gemma":[0.0000126014,0.000122976,0.02377358,0.0001561781,0.0000155967,0.002801707,0.01865555,0.0002216663,0.003326298,0.0121535,0.9387123,0.00004799632],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.1729206,0.006254078,0.03646829,0.04529262,0.003284966,0.0001104987,0.0003740524,0.002888673,0.7324063],"genre_scores_gemma":[0.6350135,0.004121654,0.02447382,0.00853092,0.0006330721,0.00005244942,0.0003171957,0.000835491,0.3260219],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.04016784,"threshold_uncertainty_score":0.1343748,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0104515583716617,"score_gpt":0.2132387946611331,"score_spread":0.2027872362894714,"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."}}