{"id":"W2735205780","doi":"10.4028/www.scientific.net/kem.744.207","title":"Evaluation of Field Applicability of Cast-in-Place Piles Using Surfactant Grout","year":2017,"lang":"en","type":"article","venue":"Key engineering materials","topic":"Geotechnical Engineering and Underground Structures","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"BGC Engineering (Canada)","funders":"","keywords":"Grout; Pile; Groundwater; Geotechnical engineering; Infiltration (HVAC); Pulmonary surfactant; Field (mathematics); Engineering; Structural engineering; Environmental science; Materials science; Mathematics; Composite material","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":[0.0003116817,0.0006731229,0.0002564838,0.000793111,0.0002444222,0.0002949611,0.0004682497,0.000504603,0.001451845],"category_scores_gemma":[0.0006924322,0.0001960708,0.0002348074,0.0004387508,0.0003468121,0.0003784401,0.0003378773,0.0004229806,0.0002733305],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002257058,"about_ca_system_score_gemma":0.0002337796,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001229119,"about_ca_topic_score_gemma":0.004060774,"domain_scores_codex":[0.999692,0.0000316599,0.00001388005,0.00004306235,0.0001684164,0.00005110656],"domain_scores_gemma":[0.9994536,0.00009086944,0.0001233026,0.00006499723,0.0001884006,0.00007882582],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0003560975,0.0001504835,0.002691122,0.0003544785,0.00001536213,0.0002419626,0.00008257242,0.001984872,0.9773882,0.0001142804,0.0001573967,0.01646319],"study_design_scores_gemma":[0.00002277317,0.002471028,0.01848256,0.00003293794,0.00004261869,0.0002171466,0.000311444,0.003949807,0.9722471,0.00006181357,0.00213374,0.00002711867],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9938564,0.0005492648,0.003539841,0.00002849532,0.00003134467,0.00006090473,0.0001490368,0.00009304203,0.001691669],"genre_scores_gemma":[0.9942094,0.0003432265,0.004015313,0.00002134584,0.00000583036,0.00002347452,0.0001152817,0.00001371748,0.001252444],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001451845,"threshold_uncertainty_score":0.004856944,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0249656387143931,"score_gpt":0.2624163847305813,"score_spread":0.2374507460161882,"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."}}