{"id":"W2326675523","doi":"10.1061/9780784413272.209","title":"Cortland-Homer Former MGP Remediation-A Case History","year":2014,"lang":"en","type":"article","venue":"Geo-Congress 2014 Technical Papers","topic":"Grouting, Rheology, and Soil Mechanics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kensington Health","funders":"","keywords":"Environmental remediation; Soil water; Excavation; Environmental science; Mining engineering; Drilling; Outwash plain; Civil engineering; Engineering; Geology; Petroleum engineering; Glacial period; Geotechnical engineering; Soil science; Mechanical engineering; Contamination","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004318952,0.0002893123,0.0003630785,0.0001233152,0.0001034992,0.0000167734,0.0002790262,0.0004210163,0.000507357],"category_scores_gemma":[0.0002689938,0.0002756299,0.0001454362,0.00008838385,0.0001623502,0.0001164081,0.00006552581,0.0004776569,0.0003397301],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000256427,"about_ca_system_score_gemma":0.00002613349,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005656127,"about_ca_topic_score_gemma":0.0004299944,"domain_scores_codex":[0.9983911,0.00005276472,0.0004135443,0.0003488175,0.000232688,0.0005610911],"domain_scores_gemma":[0.9988627,0.0001990968,0.00008836072,0.0005617747,0.00006173574,0.0002262719],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001634624,0.0003449669,0.01136545,0.0008149159,0.0004915127,0.001563601,0.001618958,0.005198686,0.06879797,0.1172639,0.6917545,0.1006221],"study_design_scores_gemma":[0.001823621,0.0002289559,0.004383392,0.00006858614,0.0001605406,0.001150066,0.0001665835,0.02643023,0.0007228129,0.001984393,0.9615161,0.00136468],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4336334,0.003752648,0.009485806,0.0005311104,0.01785827,0.001281905,0.00004182101,0.006297643,0.5271174],"genre_scores_gemma":[0.9974321,0.0001506273,0.0004912988,0.0003879826,0.0002779204,0.00006179338,0.00002456546,0.00007160637,0.001102136],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5637987,"threshold_uncertainty_score":0.9999696,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007726782130817461,"score_gpt":0.1969647715325417,"score_spread":0.1892379894017242,"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."}}