{"id":"W2732266022","doi":"10.1061/9780784480793.037","title":"A Retrospective Evaluation of the Progress of Computer Monitored Grouting","year":2017,"lang":"en","type":"article","venue":"Grouting 2017","topic":"Grouting, Rheology, and Soil Mechanics","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Golder Associates (Canada)","funders":"","keywords":"Computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006202526,0.0004017593,0.0004181991,0.007215952,0.001052566,0.004006655,0.001104131,0.0006929055,0.005461193],"category_scores_gemma":[0.0329489,0.0003735414,0.0003851952,0.00902984,0.001364619,0.002172488,0.001604142,0.001022272,0.003182679],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001893215,"about_ca_system_score_gemma":0.001962884,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005887847,"about_ca_topic_score_gemma":0.007672247,"domain_scores_codex":[0.9924589,0.001870439,0.0009081247,0.001062925,0.002912447,0.0007871908],"domain_scores_gemma":[0.9475405,0.0134632,0.009749198,0.003120849,0.0232882,0.002838146],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001350073,0.0009232881,0.5018814,0.002070462,0.0001298985,0.0008054329,0.007357814,0.001902508,0.002993928,0.005555482,0.01627978,0.4587499],"study_design_scores_gemma":[0.00002020647,0.002237696,0.8267093,0.0009750434,0.0001258792,0.001638908,0.00886817,0.001220554,0.005058005,0.0004926239,0.1525369,0.0001166703],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9282562,0.01262955,0.004621698,0.002115911,0.0003912387,0.0004003755,0.007505183,0.0005567832,0.04352302],"genre_scores_gemma":[0.9599463,0.01325656,0.003875215,0.0006897054,0.0003606377,0.0001876013,0.005056388,0.0002472226,0.01638038],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007215952,"threshold_uncertainty_score":0.03280252,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03359789549376892,"score_gpt":0.280715277121233,"score_spread":0.2471173816274641,"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."}}