{"id":"W3007606266","doi":"10.1061/9780784482780.047","title":"Experimental Investigation of Cement Mixing to Improve Lake Agassiz Clay","year":2020,"lang":"en","type":"article","venue":"Geo-Congress 2020","topic":"Grouting, Rheology, and Soil Mechanics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Cement; Mixing (physics); Geotechnical engineering; Geology; Materials science; Composite material; Physics","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":[],"consensus_categories":[],"category_scores_codex":[0.00009063997,0.0001716242,0.000231834,0.00003786002,0.00004161247,0.00002123056,0.0001793135,0.00009812276,0.0001248046],"category_scores_gemma":[0.00005366487,0.000186491,0.00006041011,0.0001618848,0.00003052504,0.00008562,0.0001003113,0.000148103,0.00007191247],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003667335,"about_ca_system_score_gemma":0.00001868269,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001167478,"about_ca_topic_score_gemma":0.00001987991,"domain_scores_codex":[0.9989845,0.00002653649,0.0003075738,0.0002417107,0.0001682637,0.000271423],"domain_scores_gemma":[0.9994965,0.00002301718,0.00006009337,0.000167592,0.0000374492,0.0002153622],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00004344679,0.00002444716,0.00195821,0.0002632378,0.0001132516,0.000029958,0.009011371,0.006049549,0.9699548,0.002963389,0.007267145,0.002321235],"study_design_scores_gemma":[0.0006997691,0.0002554758,0.0006410978,0.00005338043,0.00002529923,0.000002809636,0.001153843,0.06561663,0.9277545,0.0001787044,0.003286978,0.0003315535],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9921663,0.0002913205,0.002910877,0.0005494252,0.001501751,0.0003046076,0.00003438166,0.0002360024,0.002005339],"genre_scores_gemma":[0.9979789,0.000007202844,0.001050418,0.0006130128,0.0002082097,0.00003653564,0.00002500048,0.0000333834,0.00004732613],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05956708,"threshold_uncertainty_score":0.7604883,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01419009270214886,"score_gpt":0.2197126823323039,"score_spread":0.205522589630155,"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."}}