{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001405761,0.00005585622,0.00005942162,0.00005963826,0.00002077254,0.0000138622,0.00002465616,0.00004754851,0.0002099401],"category_scores_gemma":[0.00004383921,0.0000559456,0.00001136049,0.0001516032,0.00002181415,0.0001409059,0.00001660418,0.00009106949,0.000008531285],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002387212,"about_ca_system_score_gemma":0.00002565218,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000609681,"about_ca_topic_score_gemma":0.00001504482,"domain_scores_codex":[0.9995728,0.00002357339,0.00009731532,0.0001310192,0.00003829209,0.0001370398],"domain_scores_gemma":[0.9997776,0.000008607842,0.00000840338,0.0001282462,0.0000434731,0.00003364659],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003499661,0.0001199141,0.8874969,0.001832178,0.00001068982,0.000001118947,0.001931724,0.00158917,0.0008210443,0.004027201,0.001142064,0.100993],"study_design_scores_gemma":[0.0005094489,0.00004174563,0.9249409,0.000009245983,0.000003137515,0.000001213434,0.002152337,0.008875722,0.001317754,0.007776652,0.05419493,0.0001768818],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967796,0.0001040525,0.0001195373,0.001246336,0.0002105106,0.000284686,0.000002574516,0.00009604795,0.001156674],"genre_scores_gemma":[0.9995769,0.00009047031,0.00006084856,0.00001304402,0.00001176547,0.000004286218,0.00001596862,0.000005162548,0.0002215643],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1008161,"threshold_uncertainty_score":0.2298697,"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."}}