{"id":"W653353887","doi":"","title":"Reduction of Greenhouse Gas Emissions Through Utilization of Turf and Root Reinforcement Mat (TRM) Technology in Green Armouring of Civil Structures as Compared to Traditional Rock Armouring","year":2013,"lang":"en","type":"article","venue":"2013 CONFERENCE AND EXHIBITION OF THE TRANSPORTATION ASSOCIATION OF CANADA - TRANSPORTATION: BETTER - FASTER - SAFER","topic":"Geotechnical Engineering and Soil Stabilization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Greenhouse gas; Carbon footprint; Greenhouse; Civil engineering; Engineering; Geology","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":[0.0001037852,0.0001710575,0.0003697573,0.0002055209,0.0000397865,0.000006095522,0.0001010066,0.0001341263,0.0001144476],"category_scores_gemma":[0.00001561506,0.0001670498,0.00005665712,0.0003573569,0.00004693443,0.0002703998,0.000003229428,0.000131061,1.510216e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007405482,"about_ca_system_score_gemma":0.00008715309,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01688823,"about_ca_topic_score_gemma":0.05667944,"domain_scores_codex":[0.9982278,0.00002707733,0.0009688436,0.0001682549,0.0004509895,0.000156995],"domain_scores_gemma":[0.998984,0.0000442021,0.0004221118,0.0001446356,0.0003513755,0.00005363116],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.00008005765,0.00009542645,0.02941398,0.001329484,0.0001498,6.42756e-7,0.005874916,0.8569339,0.09875672,0.005828637,0.0003290294,0.001207427],"study_design_scores_gemma":[0.001364073,0.0001228926,0.8699638,0.000756827,0.0001175396,0.000001377189,0.001053327,0.01280459,0.1075663,0.005875804,0.0000750742,0.0002984178],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9889433,0.00003818905,0.009122746,0.001158271,0.00008659339,0.0004044337,0.0001492428,0.00002404495,0.00007319837],"genre_scores_gemma":[0.9993362,0.00005625112,0.0003274716,0.00001921343,0.00001083544,0.00003114917,0.0001712389,0.00001650705,0.00003112146],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8441293,"threshold_uncertainty_score":0.9896584,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01399596379815899,"score_gpt":0.1971694343583421,"score_spread":0.1831734705601831,"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."}}