{"id":"W2302216584","doi":"10.1139/cjce-2015-0553","title":"A study on pothole repair in Canada through questionnaire survey and laboratory evaluation of patching materials","year":2016,"lang":"en","type":"article","venue":"Canadian Journal of Civil Engineering","topic":"Asphalt Pavement Performance Evaluation","field":"Engineering","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; Canadian Natural Resources","funders":"New Jersey Department of Transportation","keywords":"Pothole (geology); Durability; Environmental science; Asphalt; Asphalt pavement; Wearing course; Curing (chemistry); Moisture; Forensic engineering; Engineering; Materials science; Composite material; Geology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.002203837,0.0001128569,0.0002013146,0.0002175313,0.00001953656,0.000008788586,0.00007344232,0.00003120512,0.00003960089],"category_scores_gemma":[0.000367435,0.00009949828,0.0000133529,0.0001694592,0.000008185531,0.0003158395,0.000004087975,0.00008876862,5.248687e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001267193,"about_ca_system_score_gemma":0.001482128,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.266638,"about_ca_topic_score_gemma":0.9917768,"domain_scores_codex":[0.998841,0.0001139598,0.0004436506,0.00007690715,0.0003450361,0.0001794694],"domain_scores_gemma":[0.9994065,0.00006200579,0.00009482931,0.0001120216,0.0002106569,0.000114048],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.00001136305,0.00001259822,0.459319,0.00009895388,0.00009066884,0.00004246084,0.001738829,0.5295223,0.007298809,0.00002080101,0.0004561218,0.001388111],"study_design_scores_gemma":[0.0008073247,0.00007775762,0.9881104,0.0005860661,0.0000222721,0.000005423658,0.000217224,0.007382122,0.002596635,0.00001466963,0.00004296371,0.0001371332],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983446,0.0004051554,0.0004303915,0.0000202013,0.0005428744,0.0001668523,0.00005167651,0.00001011543,0.00002811827],"genre_scores_gemma":[0.999862,0.00001569963,0.00003592459,0.000008443831,0.00004779011,0.000006574314,0.000001305184,0.00002109761,0.000001137567],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7251388,"threshold_uncertainty_score":0.7382455,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02200189374787428,"score_gpt":0.2379232221213884,"score_spread":0.2159213283735141,"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."}}