{"id":"W4200538756","doi":"10.1139/cgj-2021-0408","title":"Using synthetic climate datasets for geotechnical and geoenvironmental design problems","year":2021,"lang":"en","type":"article","venue":"Canadian Geotechnical Journal","topic":"Soil and Unsaturated Flow","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Natural Sciences and Engineering Research Council of Canada; York University","keywords":"Environmental science; Climate change; Landslide; Civil engineering; Geotechnical engineering; Geology; Engineering","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.001609054,0.0005303816,0.0003444054,0.0007408331,0.0003297715,0.0006284135,0.0009555243,0.0007179514,0.00113202],"category_scores_gemma":[0.005259582,0.0002610872,0.0006000761,0.001334361,0.0003004894,0.0005352905,0.0003984909,0.0006374306,0.0002486226],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001101404,"about_ca_system_score_gemma":0.001022541,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01589011,"about_ca_topic_score_gemma":0.02702329,"domain_scores_codex":[0.9994357,0.0002503876,0.00004930086,0.0000963397,0.0001250311,0.0000431962],"domain_scores_gemma":[0.9965723,0.001401265,0.0003287834,0.0008902288,0.0007088248,0.00009858722],"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":[0.00004584134,0.0001220624,0.01047699,0.0000721645,0.00004124074,0.00005160853,0.00004446978,0.9737061,0.001134882,0.000964803,0.002007936,0.01133192],"study_design_scores_gemma":[0.00004914455,0.00006296399,0.009432178,0.00001836734,0.00001213601,0.00003367187,0.0001175385,0.9808935,0.003585393,0.001317461,0.004449427,0.00002824622],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.717302,0.000141449,0.226778,0.0003713732,0.0001535051,0.0006767589,0.04120645,0.003898429,0.009472043],"genre_scores_gemma":[0.8767086,0.0001028536,0.09579674,0.00005896599,0.00001372867,0.0005897297,0.02596614,0.0001793934,0.0005839589],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01589011,"threshold_uncertainty_score":0.03159529,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0280294619497736,"score_gpt":0.2237077138472685,"score_spread":0.1956782518974949,"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."}}