{"id":"W2079684230","doi":"10.1139/l10-021","title":"Long-term behaviour model of skid resistance for asphalt roadway surfaces","year":2010,"lang":"en","type":"article","venue":"Canadian Journal of Civil Engineering","topic":"Infrastructure Maintenance and Monitoring","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Pontificia Universidad Católica de Chile; Universidad de Chile","keywords":"Skid (aerodynamics); Asphalt; Polishing; Equivalence (formal languages); Traffic volume; Geotechnical engineering; Environmental science; Engineering; Structural engineering; Mathematics; Materials science; Transport engineering; Composite material; Mechanical engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001960545,0.0001690838,0.0002731982,0.0002557211,0.00004330486,0.00003161452,0.0002613693,0.0001124453,0.00002223531],"category_scores_gemma":[0.00008898613,0.0001750352,0.000121774,0.0001031547,0.00002607827,0.0002015316,0.000005009974,0.0003888407,4.244377e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009127986,"about_ca_system_score_gemma":0.0002270891,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006449334,"about_ca_topic_score_gemma":0.06039132,"domain_scores_codex":[0.9990045,0.000002479622,0.0003904817,0.00008217915,0.0001210503,0.0003993486],"domain_scores_gemma":[0.9991603,0.00003431033,0.00009273736,0.000163333,0.0001948246,0.0003545196],"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":[0.000007165448,0.000002803452,0.007527182,0.0002517353,0.00006117271,0.00003346881,0.0003532167,0.9201638,0.06964337,0.0005173597,0.0009919176,0.0004468733],"study_design_scores_gemma":[0.004286203,0.0002895632,0.1999756,0.003054656,0.0004947699,0.0004674889,0.000231594,0.5257248,0.2498271,0.001521167,0.01120525,0.002921829],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9284389,0.000911388,0.06660137,0.00002826669,0.00311717,0.0001212776,0.00005868015,0.00003230277,0.0006906234],"genre_scores_gemma":[0.9944008,0.00001801145,0.005061701,0.000005628307,0.0003654344,0.000003997986,0.000002065107,0.00005405908,0.00008830715],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.394439,"threshold_uncertainty_score":0.9567541,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006328681128170763,"score_gpt":0.1930078777427356,"score_spread":0.1866791966145649,"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."}}