{"id":"W1540236165","doi":"10.1002/0471142913.fae0305s07","title":"Quantitative Determination of β‐Glucan Content","year":2003,"lang":"en","type":"article","venue":"Current Protocols in Food Analytical Chemistry","topic":"Microbial Metabolites in Food Biotechnology","field":"Nursing","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Citation; Library science; Computer science; Information retrieval","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":[0.0003494015,0.0002187677,0.0004324752,0.0001049536,0.00003101819,0.00001935329,0.000312116,0.0002441072,0.0001183814],"category_scores_gemma":[0.002101196,0.0002141336,0.0001271244,0.0004917728,0.0003418128,0.00007728022,0.00006080974,0.0005031726,0.000007382464],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001415109,"about_ca_system_score_gemma":0.00004901515,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001530822,"about_ca_topic_score_gemma":0.000002630001,"domain_scores_codex":[0.9981859,0.0001011693,0.0006958544,0.000411239,0.0002342386,0.0003716107],"domain_scores_gemma":[0.9989755,0.000118733,0.0002510891,0.0004038899,0.0001677784,0.0000830304],"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":[0.0005877531,0.001700298,0.00461144,0.002123462,0.00003802952,0.000004597728,0.0001761857,0.0000046222,0.9278796,0.02580227,0.0001416559,0.03693005],"study_design_scores_gemma":[0.00116901,0.0004741877,0.000146637,0.0004564882,0.00002165471,0.000008591676,0.00009635285,0.0004547779,0.9820644,0.003217925,0.011649,0.0002409211],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9307913,0.0009950283,0.003951975,0.0005431623,0.0008076509,0.05218583,0.0001167892,0.000236909,0.01037133],"genre_scores_gemma":[0.9905179,0.000002393173,0.002654284,0.00001959272,0.00003503166,0.006706072,0.0000098859,0.00002380132,0.00003111267],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05972651,"threshold_uncertainty_score":0.8732116,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1193266276115869,"score_gpt":0.384859880822705,"score_spread":0.2655332532111181,"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."}}