{"id":"W4212881352","doi":"10.1680/jgere.22.00003","title":"Discussion: Validation of computational liquefaction for tailings: Tar Island slump","year":2022,"lang":"en","type":"article","venue":"Geotechnical Research","topic":"Geotechnical Engineering and Soil Mechanics","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"BGC Engineering (Canada)","funders":"","keywords":"Tailings; Slump; Liquefaction; tar (computing); Geology; Geotechnical engineering; Environmental science; Mining engineering; Petroleum engineering; Engineering; Materials science; Computer science; Metallurgy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001788502,0.00009936399,0.0001707017,0.0002203582,0.0002153649,0.00001691314,0.000238792,0.0001128964,0.0001195932],"category_scores_gemma":[0.0006105081,0.00008664796,0.00009336609,0.000501774,0.00003970999,0.00005350426,0.00012043,0.0007467357,0.000006577223],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001822094,"about_ca_system_score_gemma":0.00005976668,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001285459,"about_ca_topic_score_gemma":0.000001387592,"domain_scores_codex":[0.9983541,0.00009301953,0.0002991263,0.0002040089,0.00071223,0.0003374796],"domain_scores_gemma":[0.999084,0.0004205524,0.0000249568,0.0002311261,0.0001549247,0.00008446119],"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":[0.00002631404,0.0000434595,7.27702e-7,0.0000836746,0.00001167259,0.000001023028,0.00003845892,0.9879651,0.002866547,0.004966196,0.0009176935,0.003079146],"study_design_scores_gemma":[0.0004038867,0.0003470524,0.00002198458,0.00002267001,0.000006868549,0.000008319739,0.0001186669,0.9157039,0.01219037,0.030513,0.04050798,0.0001553057],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3400638,0.0002154366,0.6550518,0.0009458475,0.0005506421,0.001377298,0.0001597987,0.0009660632,0.0006692653],"genre_scores_gemma":[0.9979822,0.00001604344,0.001367624,0.000004889541,0.00004390953,0.0003365719,0.00007414178,0.0000330997,0.0001415355],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6579184,"threshold_uncertainty_score":0.3533401,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0372061196132628,"score_gpt":0.3141821060961706,"score_spread":0.2769759864829078,"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."}}