{"id":"W2519980925","doi":"10.1016/j.biombioe.2016.09.005","title":"Influence of moisture content and hammer mill screen size on the physical quality of barley, oat, canola and wheat straw briquettes","year":2016,"lang":"en","type":"article","venue":"Biomass and Bioenergy","topic":"Thermochemical Biomass Conversion Processes","field":"Engineering","cited_by":39,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Saskatchewan","funders":"Special Fund for Agro-scientific Research in the Public Interest; Natural Sciences and Engineering Research Council of Canada; China Scholarship Council; BioFuelNet Canada","keywords":"Briquette; Water content; Straw; Canola; Biomass (ecology); Moisture; Pulp and paper industry; Compaction; Environmental science; Hammer; Bioenergy; Agronomy; Materials science; Biofuel; Composite material; Waste management; Metallurgy; Coal","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007963224,0.0001399451,0.0002157269,0.00002273692,0.0000254779,0.00001092658,0.00009072538,0.00007782343,0.00000668518],"category_scores_gemma":[0.00007406971,0.00007259468,0.00003131792,0.00007031435,0.0003117814,0.00005748403,0.00005751829,0.00003549867,2.895735e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009558397,"about_ca_system_score_gemma":0.000007700124,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000772719,"about_ca_topic_score_gemma":0.0000739257,"domain_scores_codex":[0.9993677,0.00002868927,0.0001783184,0.0001705764,0.0001246536,0.0001301018],"domain_scores_gemma":[0.9993228,0.0003475561,0.00005359937,0.0001459426,0.00005908828,0.00007097611],"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":[0.00004374165,0.00001756581,0.00496525,0.00008660185,0.00004503005,6.06485e-7,0.00004789687,6.677756e-7,0.9910462,0.001154762,0.0000942079,0.002497397],"study_design_scores_gemma":[0.000337725,0.00006828846,0.09305415,0.00009110604,0.00001059228,0.000001435828,0.00004269925,0.000008467618,0.9058458,0.0001836118,0.0002454676,0.0001107152],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998059,0.0008093212,0.00000892389,0.0008652997,0.00001305686,0.00005860804,0.00009181573,0.00002488948,0.00006903552],"genre_scores_gemma":[0.9995798,0.000247809,0.00002515467,0.00007959854,0.00001965319,0.000003814462,0.000001185392,0.000009393067,0.0000335165],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0880889,"threshold_uncertainty_score":0.2960325,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0176537510815302,"score_gpt":0.217363169497428,"score_spread":0.1997094184158978,"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."}}