{"id":"W1985423278","doi":"10.3141/2363-10","title":"Modeling in Situ Performance of Cement-Stabilized Granular Base Layers of Urban Roads","year":2013,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Asphalt Pavement Performance Evaluation","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Cementitious; Cement; Materials science; Portland cement; Subgrade; Composite material; Geotechnical engineering; Cohesion (chemistry); Granular material; Asphalt concrete; Base course; Asphalt; Geology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001509848,0.0004956767,0.000310745,0.0002437408,0.0002856462,0.0006730564,0.0008308226,0.0006821085,0.0006995018],"category_scores_gemma":[0.0003958725,0.0003608069,0.0003390672,0.0002691998,0.0004785262,0.0003430527,0.0003779469,0.0002683905,0.0001405184],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001050032,"about_ca_system_score_gemma":0.001047227,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06964421,"about_ca_topic_score_gemma":0.06201249,"domain_scores_codex":[0.9998941,0.00001680611,0.000004704421,0.00002823829,0.00001981295,0.00003642098],"domain_scores_gemma":[0.9998565,0.0000525828,0.00002591658,0.0000168544,0.00003091133,0.00001732655],"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":[0.00004130501,0.00004480399,0.004262971,0.00001392048,0.000009693673,0.00006595224,0.00002388236,0.9846718,0.009992427,0.0001177162,0.00002474386,0.0007309199],"study_design_scores_gemma":[0.000008869991,0.000042338,0.002908401,0.000001819712,0.000007971608,0.0000101642,0.00004196592,0.9938921,0.00297874,0.00004157378,0.00005899862,0.000007018622],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9950222,0.00001769769,0.003297959,0.000009797875,0.00000259763,0.00001873518,0.0001379163,0.00004268266,0.001450416],"genre_scores_gemma":[0.9983578,0.00002105262,0.001091803,0.00000361031,5.144975e-7,0.00001056704,0.00007730485,0.000008601043,0.0004288493],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06964421,"threshold_uncertainty_score":0.1384777,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08215750988530232,"score_gpt":0.335899683336159,"score_spread":0.2537421734508567,"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."}}