{"id":"W4411961023","doi":"10.3390/fib13070090","title":"Recycling Particleboard by Acid Hydrolysis: Effects on the Physical, Thermal, and Chemical Characteristics of Recycled Wood Particles","year":2025,"lang":"en","type":"article","venue":"Fibers","topic":"Recycling and Waste Management Techniques","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada; Ministère des Ressources Naturelles et de la Faune; FPInnovations; Université Laval","keywords":"Hydrolysis; Thermal; Materials science; Waste management; Pulp and paper industry; Composite material; Chemical engineering; Environmental science; Chemistry; Organic chemistry; Engineering; Physics; Meteorology","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":[0.0004422986,0.0009108785,0.0005067118,0.0004436552,0.0002043369,0.0007692749,0.0002523154,0.0004538207,0.0009906797],"category_scores_gemma":[0.0004698434,0.000265581,0.0006014839,0.0002881687,0.0002152103,0.0004867883,0.0002357567,0.0005602604,0.0003327911],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002077535,"about_ca_system_score_gemma":0.000140297,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001099599,"about_ca_topic_score_gemma":0.001943844,"domain_scores_codex":[0.9996552,0.00005470646,0.00003428684,0.00008956398,0.0001047592,0.00006140562],"domain_scores_gemma":[0.9997682,0.00005171397,0.00006945734,0.00002556887,0.00005824591,0.00002674404],"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":[0.0001132215,0.0000340448,0.0003518788,0.0001352907,0.00002185154,0.00008488062,0.00002716334,0.0002048212,0.9952971,0.00001623743,0.00001810722,0.003695474],"study_design_scores_gemma":[0.00000580091,0.0002888709,0.004427009,0.00001459648,0.00005034915,0.00007826847,0.0000341038,0.0003463083,0.9938256,0.000008383287,0.0009114972,0.00000928619],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9942159,0.002626143,0.002261508,0.00002046904,0.00003463771,0.00003346557,0.0001483646,0.00005629793,0.0006032441],"genre_scores_gemma":[0.9927739,0.001576009,0.003541683,0.00005279903,0.00001046715,0.00003601216,0.0002759976,0.00008310327,0.00165013],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001099599,"threshold_uncertainty_score":0.003314197,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005263651486816094,"score_gpt":0.2179294868015601,"score_spread":0.212665835314744,"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."}}