{"id":"W4323362145","doi":"10.1007/s11756-023-01364-z","title":"Utilization of Indonesian root and tuber starches for glucose production by cold enzymatic hydrolysis","year":2023,"lang":"en","type":"article","venue":"Biologia","topic":"Food composition and properties","field":"Nursing","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ministry of Transportation of Ontario","funders":"","keywords":"Canna; Starch; Food science; Hydrolysis; Chemistry; Raw material; Yield (engineering); Enzymatic hydrolysis; Potato starch; Agronomy; Biology; Biochemistry; Organic chemistry; Materials 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":[0.000131916,0.0005026526,0.0003446379,0.0002060072,0.0001830129,0.0004467406,0.0001976324,0.0001729369,0.0008877711],"category_scores_gemma":[0.000162425,0.0001835079,0.0004560563,0.0002367289,0.0001959673,0.0002864119,0.0002784153,0.0005137814,0.000242044],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001289787,"about_ca_system_score_gemma":0.0003293617,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001350803,"about_ca_topic_score_gemma":0.002200245,"domain_scores_codex":[0.9999145,0.000008948256,0.000007597707,0.00002231264,0.00001529123,0.00003135479],"domain_scores_gemma":[0.999905,0.00002097396,0.00001560784,0.00001223561,0.00001746807,0.00002863478],"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":[0.0003078884,0.00002271243,0.0007823167,0.00003569686,0.00000600836,0.00007068707,0.0000413736,0.00003238658,0.9965017,0.00003617691,0.00001027582,0.002152814],"study_design_scores_gemma":[0.000009968169,0.000424996,0.03004793,0.00001850644,0.00005551544,0.0002685871,0.0002193025,0.0004929751,0.9676205,0.00005614826,0.0007709846,0.00001461833],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997173,0.0003748537,0.0008685543,0.00001498255,0.00001108408,0.000007088848,0.00008926944,0.00000687354,0.001454295],"genre_scores_gemma":[0.9964107,0.0002331512,0.001522162,0.00001536718,0.000004226527,0.000008358881,0.0003203127,0.00001821374,0.001467513],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001350803,"threshold_uncertainty_score":0.002969921,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04950918015227267,"score_gpt":0.2789814129861795,"score_spread":0.2294722328339068,"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."}}