{"id":"W2586139080","doi":"10.1039/c6ay03431d","title":"High-throughput analysis of endogenous fruit glycosyl hydrolases using a novel chromogenic hydrogel substrate assay","year":2017,"lang":"en","type":"article","venue":"Analytical Methods","topic":"Enzyme Production and Characterization","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture Food and Rural Development","funders":"Innovationsfonden; Villum Fonden","keywords":"Chromogenic; Substrate (aquarium); Glycosyl; Chemistry; Endogeny; Throughput; High-throughput screening; Glycoside hydrolase; Substrate specificity; Chromatography; Biochemistry; Combinatorial chemistry; Enzyme; Biology; Computer science","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":[0.000495159,0.0006303065,0.0004321608,0.0005874711,0.0001892827,0.0004755972,0.0005032943,0.0004065991,0.0006417013],"category_scores_gemma":[0.0003394793,0.0002405195,0.0003639044,0.0004352468,0.000220023,0.0004279269,0.0002997238,0.0006629963,0.0004974154],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003641373,"about_ca_system_score_gemma":0.0002389633,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003577021,"about_ca_topic_score_gemma":0.001184073,"domain_scores_codex":[0.9995556,0.00005739745,0.00003408687,0.0001056888,0.0002070596,0.0000400711],"domain_scores_gemma":[0.9997151,0.00009276694,0.00005269801,0.00003194656,0.00006453734,0.00004279691],"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":[0.00001222201,0.00001380052,0.0001300165,0.00002491018,0.000006332562,0.00001342028,0.000004280586,0.00003747029,0.9987679,0.00002350782,0.00003018807,0.0009359319],"study_design_scores_gemma":[0.000002873177,0.00004068834,0.001337099,0.000002658928,0.00001376795,0.00008986972,0.000005888061,0.001455577,0.9964945,0.00002528458,0.0005257638,0.000006149052],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.59429,0.004061419,0.3937684,0.000357376,0.0001207324,0.0003162558,0.002535098,0.001563225,0.002987507],"genre_scores_gemma":[0.7284792,0.003249239,0.2583987,0.0001809525,0.00007658678,0.000535544,0.003032938,0.0001799943,0.005866817],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006417013,"threshold_uncertainty_score":0.002642035,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0897233667890271,"score_gpt":0.3815017775401549,"score_spread":0.2917784107511278,"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."}}