{"id":"W3155407250","doi":"10.5539/jfr.v10n3p25","title":"Pellet Quality of Corn-Based DDGS","year":2021,"lang":"en","type":"article","venue":"Journal of Food Research","topic":"Biofuel production and bioconversion","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pellet; Pellets; Water content; Bulk density; Distillers grains; Moisture; Pelletizing; Coproduct; Durability; Coffee grounds; Materials science; Pulp and paper industry; Angle of repose; Food science; Composite material; Mathematics; Environmental science; Chemistry; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003834893,0.0003304427,0.0003421256,0.000464955,0.0002196485,0.0006106878,0.0001989223,0.000189856,0.001340472],"category_scores_gemma":[0.0006768881,0.0001765986,0.0003758073,0.0005476781,0.0001394684,0.0003436112,0.0002764627,0.0003856194,0.0001808475],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000318855,"about_ca_system_score_gemma":0.000137605,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00236961,"about_ca_topic_score_gemma":0.004291261,"domain_scores_codex":[0.9995346,0.00003287353,0.00004831672,0.00008168121,0.0002450094,0.00005756782],"domain_scores_gemma":[0.9995097,0.00007926265,0.0001114449,0.00003492611,0.0002309925,0.00003364353],"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":[0.0004313425,0.00003494592,0.004742934,0.000101392,0.00003112767,0.0001018625,0.00005514569,0.0004023172,0.988076,0.00004841791,0.00004041215,0.00593419],"study_design_scores_gemma":[0.00001030244,0.0009112671,0.05224094,0.00001977893,0.00005882258,0.0001364189,0.0001310474,0.0008532018,0.9445257,0.00002801748,0.001067572,0.00001708161],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971004,0.0005372306,0.001105407,0.00001090291,0.00001092473,0.00001480207,0.0005314532,0.0000211665,0.000667606],"genre_scores_gemma":[0.9949054,0.0004282902,0.00178713,0.00002027004,0.000003389929,0.00001598305,0.001179525,0.00004608508,0.001613994],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00236961,"threshold_uncertainty_score":0.004711568,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1509906365870954,"score_gpt":0.3787632189282647,"score_spread":0.2277725823411693,"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."}}