{"id":"W2885663559","doi":"10.36487/acg_rep/1063_8_grabinsky","title":"In situ monitoring for ground truthing paste backfill designs","year":2010,"lang":"en","type":"article","venue":"Paste/Paste","topic":"Tailings Management and Properties","field":"Engineering","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; University of Waterloo; University of Toronto; Barrick Gold Corporation","keywords":"Geotechnical engineering; Liquefaction; Mining engineering; Rock blasting; Geology; Rock mass classification; Curing (chemistry); Pore water pressure; Materials science; Composite material","routes":{"ca_aff":true,"ca_fund":true,"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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003425357,0.0002538215,0.0002459671,0.0001883038,0.00009578899,0.0001562712,0.0002654239,0.0001182224,0.00006154716],"category_scores_gemma":[0.0000496267,0.0002506977,0.00008491062,0.0001817881,0.0000284089,0.0005486974,0.00006552858,0.0003490455,0.00009225518],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004150981,"about_ca_system_score_gemma":0.000008397431,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000288576,"about_ca_topic_score_gemma":0.0001090461,"domain_scores_codex":[0.9987113,0.00001870306,0.0003283536,0.0002628959,0.0001617082,0.0005169646],"domain_scores_gemma":[0.999424,0.0001269614,0.00004713816,0.0002803887,0.00003641273,0.00008513807],"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":[0.0001454737,0.00007456933,0.01027357,0.001220046,0.0001807973,0.00003650933,0.006997107,0.01283547,0.9025941,0.002039574,0.002147736,0.06145508],"study_design_scores_gemma":[0.007799578,0.000520249,0.01993883,0.0009539736,0.0002770797,0.0000367257,0.006692094,0.09395896,0.4813627,0.005523178,0.3787554,0.004181218],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9774022,0.0002924282,0.005785532,0.000141218,0.003572187,0.0005165866,0.000006337294,0.0003249766,0.01195858],"genre_scores_gemma":[0.9926772,0.00002809223,0.004462865,0.00003008958,0.0008481822,0.0001082301,0.000005673024,0.00007981168,0.001759904],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4212314,"threshold_uncertainty_score":0.9999945,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02980536656143071,"score_gpt":0.233792093613914,"score_spread":0.2039867270524832,"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."}}