{"id":"W2169802132","doi":"10.1016/j.bios.2004.12.023","title":"Chemometric exploration of an amperometric biosensor array for fast determination of wastewater quality","year":2005,"lang":"en","type":"article","venue":"Biosensors and Bioelectronics","topic":"Advanced Chemical Sensor Technologies","field":"Engineering","cited_by":84,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Vetenskapsrådet; European Commission","keywords":"Wastewater; Chemistry; Amperometry; Chromatography; Biochemical oxygen demand; Biosensor; Chemical oxygen demand; Environmental chemistry; Analytical Chemistry (journal); Electrode; Environmental science; Biochemistry; Environmental engineering; Electrochemistry","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":[0.0005911438,0.0004904353,0.0004257803,0.0003603639,0.0002623468,0.0008945474,0.001121423,0.0009871837,0.001213035],"category_scores_gemma":[0.001044944,0.0004096551,0.0002773463,0.0003569606,0.0003802391,0.001105175,0.000468521,0.0008232029,0.0006759485],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004106473,"about_ca_system_score_gemma":0.0003070725,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002884431,"about_ca_topic_score_gemma":0.0004780621,"domain_scores_codex":[0.9994825,0.00008701377,0.00002667489,0.0001076117,0.0002527513,0.00004340388],"domain_scores_gemma":[0.9996299,0.0001562273,0.00003834382,0.00002798833,0.0001128735,0.0000346479],"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":[0.00006568956,0.00003440257,0.00008007111,0.00005023253,0.000003023215,0.000030352,0.0000218343,0.0001164471,0.9937491,0.0003965409,0.0001700702,0.005282069],"study_design_scores_gemma":[0.00001010769,0.0001405328,0.0002394833,0.000004159891,0.000006184292,0.000111462,0.00001133608,0.006217809,0.9911407,0.0001734346,0.001935885,0.000009014334],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6804376,0.005976514,0.2970265,0.003047377,0.0006886852,0.0003073557,0.0008761713,0.001551874,0.01008785],"genre_scores_gemma":[0.7904253,0.002498322,0.1930086,0.001450339,0.0002387567,0.0002597101,0.0005348065,0.0001020899,0.01148213],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001213035,"threshold_uncertainty_score":0.004058063,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02502905777433658,"score_gpt":0.2726056970632068,"score_spread":0.2475766392888702,"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."}}