{"id":"W2070680485","doi":"10.1139/l05-096","title":"Comparative study of performance of natural fibres and crumb rubber modified stone matrix asphalt mixtures","year":2006,"lang":"en","type":"article","venue":"Canadian Journal of Civil Engineering","topic":"Asphalt Pavement Performance Evaluation","field":"Engineering","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Asphalt; Materials science; Composite material; Crumb rubber; Rut; SMA*; Ultimate tensile strength; Creep; Aggregate (composite); Natural rubber; Permeability (electromagnetism); Moisture","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":[0.0002357365,0.0001619688,0.0003665501,0.0004177845,0.00003698932,0.00001658231,0.0001358551,0.00004757291,0.00003107411],"category_scores_gemma":[0.00001471155,0.0001616809,0.00004176561,0.0002104977,0.00003230237,0.000336326,0.000008045605,0.0002245679,5.708567e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001014705,"about_ca_system_score_gemma":0.00009380635,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003847189,"about_ca_topic_score_gemma":0.01258902,"domain_scores_codex":[0.9988859,0.00001450413,0.0005488032,0.00007445002,0.0002439943,0.0002324017],"domain_scores_gemma":[0.9994038,0.00004106917,0.0001594134,0.0001086195,0.0001561063,0.0001309834],"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":[0.00001197073,0.00001460093,0.006273544,0.0001745186,0.00009131152,0.000006107927,0.00114307,0.980341,0.01156731,0.00003427056,0.0002117599,0.0001305205],"study_design_scores_gemma":[0.001711314,0.000527608,0.1660496,0.0003598723,0.0001156813,0.0000494879,0.0005517756,0.7997304,0.03040899,0.0000160347,0.0001517315,0.0003275654],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9947564,0.003551142,0.0008243837,0.000006675702,0.0003518575,0.000163,0.000007159337,0.00001336396,0.0003259997],"genre_scores_gemma":[0.9995727,0.00002206756,0.0002485096,0.000001549031,0.0001024163,0.000002875873,0.000002717272,0.00002078051,0.00002640019],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1806106,"threshold_uncertainty_score":0.7024966,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01124841763486178,"score_gpt":0.2302625651377938,"score_spread":0.219014147502932,"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."}}