{"id":"W1963896679","doi":"10.1021/es000888r","title":"Micromachined Electrophoresis Chips with Electrochemical Detectors for Analysis of Explosive Compounds in Soil and Groundwater","year":2000,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Microfluidic and Capillary Electrophoresis Applications","field":"Engineering","cited_by":77,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada; Biotechnology Research Institute","funders":"","keywords":"Explosive material; Capillary electrophoresis; Amperometry; Trinitrotoluene; Detection limit; Microsystem; Electrophoresis; Electrode; Contamination; Working electrode; Chromatography; Materials science; Analytical Chemistry (journal); Chemistry; Electrochemistry; Nanotechnology","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":[0.00007683863,0.0001384642,0.0002345592,0.0006128827,0.00009268014,0.000009977118,0.0002434801,0.0000848073,0.00007414563],"category_scores_gemma":[0.000002175479,0.0001221653,0.00003640338,0.001560788,0.0007412048,0.00006429535,0.00002467503,0.0001215643,0.000002228983],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001807251,"about_ca_system_score_gemma":0.00001190659,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001030831,"about_ca_topic_score_gemma":0.00002713134,"domain_scores_codex":[0.9990138,0.000005865154,0.0001799642,0.000309298,0.0001165239,0.000374578],"domain_scores_gemma":[0.9997038,0.00001677659,0.00002427188,0.0002067844,0.000003557447,0.00004484233],"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":[0.00002586043,0.0000460181,0.004938667,0.000003079234,0.00005994026,5.622345e-7,0.00006743753,0.00004823774,0.9932929,0.00007264703,0.00002049534,0.001424178],"study_design_scores_gemma":[0.0002410446,0.0002090929,0.01002347,0.000002846578,0.00009144755,0.00001237607,0.00006383938,0.001438678,0.9870403,0.0002039382,0.000524512,0.0001483951],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963096,0.002564314,0.0007514924,0.00005321254,0.000003058873,0.0001955027,0.00000572252,0.00005442692,0.00006271665],"genre_scores_gemma":[0.9947208,0.004811025,0.000304001,0.00001343293,0.000003566125,0.000105113,0.00001424264,0.00001369941,0.00001412473],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00625252,"threshold_uncertainty_score":0.4981755,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002827213798794338,"score_gpt":0.1775825836330812,"score_spread":0.1747553698342868,"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."}}