{"id":"W2100202185","doi":"10.1061/9780784480793.029","title":"Quantifying the Effectiveness of a Grout Curtain Using a Laboratory-Scale Physical Model","year":2017,"lang":"en","type":"article","venue":"Grouting 2017","topic":"Grouting, Rheology, and Soil Mechanics","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Stantec (Canada)","funders":"","keywords":"Grout; Normalization (sociology); Geotechnical engineering; Computer science; Engineering","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":[0.001472315,0.0002358582,0.0004027027,0.00004836996,0.0007172719,0.000105592,0.0006578155,0.0001341609,0.000001000613],"category_scores_gemma":[0.0003838717,0.0001925538,0.0001372418,0.00006702942,0.0001917341,0.0002209632,0.0001811144,0.0003368689,0.000009778975],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006215739,"about_ca_system_score_gemma":0.0000426009,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001234405,"about_ca_topic_score_gemma":0.00003857218,"domain_scores_codex":[0.9987019,0.000170976,0.0002398726,0.0002547913,0.0001945723,0.0004378654],"domain_scores_gemma":[0.9984307,0.0002625741,0.0002047496,0.0009423775,0.00009547925,0.00006407221],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001925379,0.0002689106,0.06481724,0.00228113,0.0004757305,0.00004909756,0.01453571,0.2892044,0.4885044,0.1367088,0.0001275554,0.002834479],"study_design_scores_gemma":[0.0004119528,0.00002045137,0.008093588,0.0002177686,0.00006020405,0.000006937092,0.000255928,0.9784986,0.009696861,0.002496424,0.000007857602,0.0002333828],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9599069,0.00009135034,0.03669136,0.00001005664,0.0005427178,0.0001994137,0.0000178217,0.0001441522,0.00239624],"genre_scores_gemma":[0.9987828,0.000006592633,0.0009593907,0.000009255291,0.000165431,0.00001245886,0.000002132586,0.00005181463,0.00001008697],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6892943,"threshold_uncertainty_score":0.7852115,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04663270793909191,"score_gpt":0.3031325824242894,"score_spread":0.2564998744851975,"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."}}