{"id":"W65292617","doi":"10.1520/stp15849s","title":"Facilitating Cold Climate Pavement Drainage Using Geosynthetics","year":2000,"lang":"en","type":"book-chapter","venue":"","topic":"Geotechnical Engineering and Soil Stabilization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Military College of Canada; Queen's University","funders":"","keywords":"Geosynthetics; Drainage; Cold climate; Environmental science; Geotechnical engineering; Hydrology (agriculture); Geology; Climatology; Ecology; Biology","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001230034,0.0003625112,0.0003204556,0.0001109517,0.00006740549,0.00003981198,0.0001194673,0.0003492896,0.0007637318],"category_scores_gemma":[0.00001080618,0.0003888506,0.0001245742,0.00003111435,0.00003025191,0.00004229324,0.00003726675,0.0003273879,0.000136179],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001650529,"about_ca_system_score_gemma":0.000009704278,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008450721,"about_ca_topic_score_gemma":0.000005633152,"domain_scores_codex":[0.9987734,0.000004317977,0.0004057365,0.0002412795,0.00022698,0.0003482737],"domain_scores_gemma":[0.9994571,0.00007007864,0.00003264763,0.0003208938,0.00002966389,0.00008958587],"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":[6.868165e-7,0.000003994188,1.373304e-7,0.0002425525,0.00003296814,0.000006717964,0.00005749022,0.9305468,0.0004616403,0.06409523,0.00004015692,0.004511614],"study_design_scores_gemma":[0.0001394498,0.00003085781,7.887026e-7,0.0003462525,0.00006565088,0.000004661115,0.00002115126,0.8201971,0.000256726,0.00355431,0.1746553,0.0007277529],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0007032434,0.0004679204,0.03531519,0.000008165803,0.0002855223,0.0003444464,0.0001160978,0.001686112,0.9610733],"genre_scores_gemma":[0.6259703,0.004066173,0.02307799,0.0002011948,0.0006826956,0.0000782507,0.0004832547,0.00152023,0.3439199],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.625267,"threshold_uncertainty_score":0.9998564,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01412935992534257,"score_gpt":0.1965800685580467,"score_spread":0.1824507086327042,"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."}}