{"id":"W2922881785","doi":"10.3390/su11061762","title":"Straw Utilization in China—Status and Recommendations","year":2019,"lang":"en","type":"article","venue":"Sustainability","topic":"Biofuel production and bioconversion","field":"Engineering","cited_by":258,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"National Social Science Fund of China; Natural Sciences and Engineering Research Council of Canada; Beijing University of Chemical Technology; University of Windsor","keywords":"Straw; China; Business; Natural resource economics; Bioenergy; Environmental science; Agricultural economics; Biofuel; Agricultural engineering; Waste management; Engineering; Economics; Agronomy; Geography","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":[0.003630894,0.001112107,0.0009277256,0.004045064,0.0009303485,0.00274601,0.002166677,0.002139263,0.008430466],"category_scores_gemma":[0.003284477,0.0003365987,0.001725535,0.004218474,0.0006244319,0.002894841,0.001565369,0.001337123,0.001406643],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005330286,"about_ca_system_score_gemma":0.04246686,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1631754,"about_ca_topic_score_gemma":0.1728189,"domain_scores_codex":[0.998781,0.0002135112,0.0002096007,0.0001394698,0.0003819542,0.0002744515],"domain_scores_gemma":[0.9970867,0.000294363,0.0003430976,0.00006284528,0.001590861,0.0006220783],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002171708,0.0003861462,0.02679813,0.01789204,0.0002579097,0.000822077,0.0006481142,0.001906649,0.00180586,0.0055497,0.2540011,0.689715],"study_design_scores_gemma":[0.0001164108,0.0006069958,0.0838019,0.03286583,0.001090754,0.0004045172,0.007055962,0.002266745,0.00181345,0.007600494,0.8621759,0.0002009793],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0201767,0.7339119,0.001821019,0.196603,0.006819305,0.0004574188,0.01132337,0.000623093,0.02826424],"genre_scores_gemma":[0.1214632,0.8102962,0.009979157,0.03114048,0.001795702,0.0006830301,0.008520336,0.00005633376,0.01606555],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.1631754,"threshold_uncertainty_score":0.3244512,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008359484827472669,"score_gpt":0.2452674474787794,"score_spread":0.2369079626513067,"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."}}