{"id":"W2065911914","doi":"10.1111/j.1745-6584.2000.tb00672.x","title":"“In Situ Ground Water Remediation Using the Trench and Gate System” by Marc W. Bowles, L.R. Bently, B. Hoyne and D.A. Thomas.","year":2000,"lang":"en","type":"article","venue":"Ground Water","topic":"Electrokinetic Soil Remediation Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"SAIT Polytechnic","funders":"","keywords":"Citation; Trench; Environmental remediation; Operations research; Computer science; Library science; Engineering; Nanotechnology; Materials science; Biology; Ecology; 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":[],"consensus_categories":[],"category_scores_codex":[0.0003442303,0.0002146179,0.0001995193,0.00009816141,0.0001011483,0.0001447257,0.0001025099,0.000125095,0.00006164496],"category_scores_gemma":[0.000003360974,0.0001290116,0.00002526996,0.00007868059,0.000062058,0.0003002331,0.00003150215,0.0001739102,0.00001705124],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001438547,"about_ca_system_score_gemma":0.000003813687,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002591134,"about_ca_topic_score_gemma":0.00006476876,"domain_scores_codex":[0.9987363,0.0000700678,0.00030643,0.0002454907,0.0002048733,0.0004368456],"domain_scores_gemma":[0.9996536,0.00003592866,0.00001844771,0.0002085954,0.00002107282,0.00006231551],"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":[0.0000528855,0.00005285926,0.002529242,0.0004866294,0.000107409,0.00004859922,0.006799465,0.0003726126,0.9696757,0.0002521656,0.005418366,0.0142041],"study_design_scores_gemma":[0.001779637,0.0001545821,0.01017131,0.000167469,0.0001273247,0.0003253144,0.0003163043,0.02644015,0.9252096,0.002824238,0.03145961,0.001024417],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965584,0.0007465311,0.0003641376,0.0003531583,0.0001263994,0.0002948128,0.000004594049,0.0002091529,0.00134281],"genre_scores_gemma":[0.9982608,0.0003829071,0.0002110721,0.00007302434,0.0001537246,0.00003941837,0.00005845645,0.00004328404,0.0007773073],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04446603,"threshold_uncertainty_score":0.5260941,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00609394993094292,"score_gpt":0.1974014715008752,"score_spread":0.1913075215699323,"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."}}