{"id":"W2322133416","doi":"10.1021/jf500711p","title":"Correlating Molecular Spectroscopy and Molecular Chemometrics to Explore Carbohydrate Functional Groups and Utilization of Coproducts from Biofuel and Biobrewing Processing","year":2014,"lang":"en","type":"article","venue":"Journal of Agricultural and Food Chemistry","topic":"Ruminant Nutrition and Digestive Physiology","field":"Agricultural and Biological Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan; Saskatchewan Ministry of Agriculture","funders":"Tianjin Agricultural University; Tianjin University; University of Saskatchewan","keywords":"Carbohydrate; Coproduct; Chemistry; Food science; Biofuel; Cellulose; Distillers grains; Rumen; Bioenergy; Neutral Detergent Fiber; Biotechnology; Fiber; Biochemistry; Biology; Organic chemistry; Mathematics; Fermentation","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00101042,0.0009396417,0.0005619359,0.003871034,0.0002921202,0.0006956062,0.0003440816,0.0006725707,0.001041433],"category_scores_gemma":[0.001223949,0.0002849792,0.0007306217,0.003721012,0.0003520222,0.0008311044,0.0005073618,0.0006650219,0.00030699],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004457208,"about_ca_system_score_gemma":0.0004136332,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001769873,"about_ca_topic_score_gemma":0.001852123,"domain_scores_codex":[0.9991529,0.0001316669,0.00005693207,0.0002403034,0.0003292222,0.0000889858],"domain_scores_gemma":[0.999534,0.0001205562,0.0001497359,0.0000363345,0.0001280878,0.00003127292],"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":[0.000732575,0.001231784,0.1795965,0.000935968,0.0009189559,0.0003460442,0.000419862,0.03317751,0.4458478,0.003761955,0.002873296,0.3301578],"study_design_scores_gemma":[0.00004319975,0.000530238,0.2137878,0.0000457971,0.0002840901,0.0004933645,0.0005066706,0.6372212,0.1377823,0.003174152,0.005997307,0.0001338317],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8771484,0.00197392,0.114771,0.0003755726,0.0001105979,0.0001081074,0.00139367,0.0008166402,0.003301983],"genre_scores_gemma":[0.941096,0.0008748339,0.05483,0.0001476326,0.00004694191,0.00009842472,0.001046828,0.00005017172,0.001809259],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003871034,"threshold_uncertainty_score":0.005343676,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02685957233234585,"score_gpt":0.2173712928774516,"score_spread":0.1905117205451058,"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."}}