{"id":"W2913072054","doi":"10.1515/amylase-2018-0006","title":"Archaeal and bacterial thermostable amylopullulanases: characteristic features and biotechnological applications","year":2018,"lang":"en","type":"article","venue":"Amylase","topic":"Enzyme Production and Characterization","field":"Biochemistry, Genetics and Molecular Biology","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Glycosidic bond; Pullulan; Amylopectin; Thermophile; Pullulanase; Hydrolysis; Amylase; Starch; Chemistry; Amylose; Biochemistry; Glycoside hydrolase; Enzyme; Bacteria; Reducing sugar; Sugar; Extremophile; Sulfolobus solfataricus; Archaea; Food science; Polysaccharide; Biology","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":[0.00005449982,0.00009329094,0.00007462275,0.00002874205,0.0001212584,0.00003512692,0.00005746865,0.0001169795,0.00004954014],"category_scores_gemma":[0.00003606391,0.00008167207,0.00001291413,0.00005414864,0.0002484925,0.000004999792,0.00008340076,0.00005493028,0.00001016833],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003318884,"about_ca_system_score_gemma":0.0000126714,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008110556,"about_ca_topic_score_gemma":0.00001274845,"domain_scores_codex":[0.9994382,0.0000214679,0.00009141936,0.0002848313,0.0000418976,0.000122148],"domain_scores_gemma":[0.9996707,0.000004040471,0.00004140391,0.0001849937,0.00003949336,0.00005934833],"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":[0.00007890027,0.00002636207,0.0004593747,0.000008448074,0.000009964244,7.040351e-7,0.00002788227,2.354172e-8,0.988025,0.000368712,0.0004427491,0.01055192],"study_design_scores_gemma":[0.0004423007,0.0003782513,0.03252995,0.000007759075,0.00001891596,0.0001240543,0.00006761153,0.00001365041,0.7605821,0.0001859529,0.2054185,0.0002310266],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978318,0.0001858065,0.0009751128,0.0005388202,0.0000742031,0.0001663364,0.00004049846,0.00003135493,0.0001560201],"genre_scores_gemma":[0.9977255,0.000313474,0.0003369608,0.0002255342,0.0006176538,0.00003793457,0.0002835276,0.00001064696,0.0004488048],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2274429,"threshold_uncertainty_score":0.333049,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00620198191494229,"score_gpt":0.2303427769294792,"score_spread":0.224140795014537,"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."}}