{"id":"W652840551","doi":"","title":"CANADIAN DISTRICT TESTS GEOGRIDS","year":2002,"lang":"en","type":"article","venue":"Better roads","topic":"Geotechnical Engineering and Soil Stabilization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Asphalt; Flatness (cosmology); Cracking; Geotechnical engineering; Aggregate (composite); Mill; Asphalt concrete; Asphalt pavement; Engineering; Forensic engineering; Civil engineering; Environmental science; Materials science; Composite material; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00002858921,0.00009350787,0.0000744122,0.00007391602,0.00003364289,0.00002575032,0.00009235592,0.00007412015,0.0002808257],"category_scores_gemma":[0.00001770865,0.00009669264,0.0000300227,0.000185376,0.000007253886,0.00004960957,0.000007056716,0.0001124204,0.0002602858],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001025079,"about_ca_system_score_gemma":0.000003062764,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002792358,"about_ca_topic_score_gemma":0.002935797,"domain_scores_codex":[0.999481,0.000003927472,0.00009892596,0.00009071689,0.00007628048,0.0002491843],"domain_scores_gemma":[0.9996583,0.000009588049,0.000004176246,0.0001703777,0.00001052206,0.0001470104],"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":[4.426152e-7,0.00002795864,0.01589926,0.00007515726,0.00003784358,0.00004617076,0.0002150029,0.6875529,0.0006119849,0.000220815,0.1065346,0.1887779],"study_design_scores_gemma":[0.0001749309,0.0000185883,0.0867984,0.0000131145,0.00001076774,0.000009789361,0.000003252153,0.6361115,0.0001486942,0.00006243669,0.2762938,0.0003547667],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9390772,0.0009167228,0.01046323,0.001924,0.0007826122,0.0002166132,0.00003596389,0.002093156,0.04449052],"genre_scores_gemma":[0.9993494,0.00001788115,0.000128734,0.0001212439,0.00008941248,0.00001127941,0.00001506264,0.00002291265,0.0002440302],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1884231,"threshold_uncertainty_score":0.4221229,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006795616153934486,"score_gpt":0.1615139345063595,"score_spread":0.154718318352425,"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."}}