{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003701005,0.0003271966,0.0002298076,0.0003934152,0.0004347859,0.0001901898,0.000331398,0.0002836815,0.001071969],"category_scores_gemma":[0.0003177962,0.0001321785,0.0001621882,0.0004552211,0.0002900861,0.0001611937,0.0002556715,0.0003073414,0.0001163594],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003992645,"about_ca_system_score_gemma":0.0004159275,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006422553,"about_ca_topic_score_gemma":0.02122539,"domain_scores_codex":[0.9997403,0.00003850748,0.00001671846,0.00004213438,0.0001026927,0.00005964645],"domain_scores_gemma":[0.9997804,0.00005566833,0.00004809182,0.0000165629,0.00007041265,0.0000288895],"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":[0.0006865795,0.0006310444,0.00419333,0.0001559797,0.00001210763,0.0001231527,0.0002287923,0.001175762,0.9875952,0.00009114374,0.00005629176,0.00505051],"study_design_scores_gemma":[0.0001122448,0.00886937,0.04416194,0.00001175839,0.00006829269,0.00005648643,0.000297694,0.003084729,0.9417933,0.00003881678,0.001482466,0.00002298864],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992414,0.0000324693,0.0001852011,0.000006030651,0.000001364045,0.0000254315,0.00005138328,0.00000737302,0.0004493897],"genre_scores_gemma":[0.9979005,0.00009548402,0.001187655,0.00001041574,0.000002955674,0.00002425795,0.0000697727,0.000003855062,0.0007051053],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006422553,"threshold_uncertainty_score":0.01277035,"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."}}