{"id":"W2280536708","doi":"10.1021/acs.analchem.5b04661","title":"Cellulose-Based Biosensors for Esterase Detection","year":2016,"lang":"en","type":"letter","venue":"Analytical Chemistry","topic":"Biosensors and Analytical Detection","field":"Engineering","cited_by":67,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada's Michael Smith Genome Sciences Centre; University of British Columbia","funders":"Ministry of Technology, Innovation and Citizens' Services; Natural Sciences and Engineering Research Council of Canada; University of British Columbia; Canada Foundation for Innovation","keywords":"Chemistry; Biosensor; Cellulose; Esterase; Chromatography; Biochemistry; Enzyme","routes":{"ca_aff":true,"ca_fund":true,"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","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.00008638261,0.0004679898,0.000456606,0.00007954655,0.00005808666,0.00007740094,0.0001922608,0.001521179,0.000371385],"category_scores_gemma":[0.00008910181,0.0003939206,0.0004996831,0.0001655153,0.0001123624,0.00004434629,0.00001552833,0.001013238,0.0001503763],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002195061,"about_ca_system_score_gemma":0.00002562683,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002903407,"about_ca_topic_score_gemma":7.250047e-7,"domain_scores_codex":[0.9981612,0.00001366737,0.0004114706,0.0005068328,0.000277564,0.0006292717],"domain_scores_gemma":[0.9989746,0.0002864723,0.00005906128,0.0004319013,0.00009480083,0.0001531246],"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":[0.00002958166,0.00001767785,0.000003199778,0.001978714,0.0002165276,0.0001131101,0.000001906334,0.0001174002,0.06658264,0.00000399928,0.9249855,0.005949801],"study_design_scores_gemma":[0.0003000344,0.00002184452,0.000001129322,0.0000778686,0.0001726141,0.000006826821,9.434516e-7,0.08994697,0.3173501,0.0001216598,0.5915462,0.0004537735],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.01806018,0.0005662262,0.2271456,0.699156,0.00338242,0.001790445,0.001763442,0.005065573,0.0430702],"genre_scores_gemma":[0.6215823,0.0000797857,0.0008468874,0.2651913,0.03999589,0.000296363,0.001110688,0.0009654555,0.06993137],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.6035221,"threshold_uncertainty_score":0.9998513,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01107301949394209,"score_gpt":0.2071650172703332,"score_spread":0.1960919977763911,"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."}}