{"id":"W2795077271","doi":"10.1016/j.biortech.2018.03.095","title":"Effect of hydrothermal carbonization on storage process of woody pellets: Pellets’ properties and aldehydes/ketones emission","year":2018,"lang":"en","type":"article","venue":"Bioresource Technology","topic":"Thermochemical Biomass Conversion Processes","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"National Natural Science Foundation of China","keywords":"Pellets; Hydrothermal carbonization; Pelletizing; Sawdust; Chemistry; Biomass (ecology); Pellet; Carbonization; Chemical engineering; Materials science; Pulp and paper industry; Organic chemistry; Agronomy; Composite material; Adsorption","routes":{"ca_aff":true,"ca_fund":false,"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":[0.000105791,0.0001903348,0.0002856645,0.000285516,0.00003597703,0.000004694614,0.0002272007,0.000294824,0.00004112939],"category_scores_gemma":[0.0001417573,0.0001479879,0.00002748666,0.0004094337,0.0005012263,0.00003515721,0.00006664504,0.0001183406,0.000007689609],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002252293,"about_ca_system_score_gemma":0.00001099482,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004263513,"about_ca_topic_score_gemma":4.611761e-7,"domain_scores_codex":[0.999198,0.00002614681,0.0002273147,0.0002155766,0.0001459521,0.0001869754],"domain_scores_gemma":[0.9995045,0.00004592109,0.00008825438,0.0002486861,0.00007298621,0.00003965508],"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":[0.0001456163,0.00002649205,0.001816027,0.0007376809,0.00002613603,0.000001513779,0.0004233796,0.00002654302,0.9904661,0.00002875775,0.0000571935,0.006244532],"study_design_scores_gemma":[0.0004255186,0.0007593924,0.00004780132,0.0002159426,0.00002181165,0.000006780058,0.0001491807,0.001394261,0.996469,0.00003369703,0.0003320413,0.0001445748],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977947,0.0009536336,0.00004213143,0.00009148593,0.00004318937,0.0002459077,0.000004133347,0.0003943673,0.0004304289],"genre_scores_gemma":[0.999808,0.00002519425,0.00003570942,0.000007188703,0.0000265243,0.00001561031,0.000002108656,0.00003725854,0.00004247385],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006099958,"threshold_uncertainty_score":0.6034771,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004999542992679685,"score_gpt":0.2000865720217007,"score_spread":0.1950870290290211,"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."}}