{"id":"W4307276592","doi":"10.15376/biores.17.4.6847-6859","title":"Thermo-hydrolytic recycling of urea-formaldehyde resin-bonded laminated particleboards","year":2022,"lang":"en","type":"article","venue":"BioResources","topic":"Natural Fiber Reinforced Composites","field":"Materials Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; FPInnovations","funders":"Mitacs; FPInnovations","keywords":"Urea-formaldehyde; Materials science; Raw material; Formaldehyde; Particle board; Hydrolysis; Composite material; Waste management; Swelling; Composite number; Pulp and paper industry; Chemistry; Adhesive; Organic chemistry","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":[0.0002251208,0.0005609543,0.0002314866,0.0003615749,0.0001655391,0.000288249,0.0002098513,0.0002714803,0.0006253106],"category_scores_gemma":[0.000220113,0.0001558474,0.0004127192,0.0002308991,0.0001368623,0.0002628473,0.0001285181,0.0003948789,0.0002567011],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001366222,"about_ca_system_score_gemma":0.0001616498,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009498286,"about_ca_topic_score_gemma":0.003002625,"domain_scores_codex":[0.9998519,0.00001994667,0.00001202456,0.00003359407,0.00005129968,0.00003116377],"domain_scores_gemma":[0.9998977,0.00001478364,0.00003871328,0.00001380501,0.00002298898,0.00001193788],"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":[0.00002509783,0.00001597734,0.0001379961,0.00004852667,0.000007398315,0.0000500204,0.00001461198,0.0001716084,0.9977884,0.00001231756,0.000009294747,0.001718714],"study_design_scores_gemma":[0.000001185018,0.0001008166,0.001961333,0.000004993543,0.00001140212,0.00004646207,0.0000150799,0.0002778591,0.9971328,0.000004836765,0.0004403006,0.000002945724],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9929526,0.001014826,0.004984263,0.00001611691,0.00002446654,0.00002699617,0.0001237235,0.00005745913,0.0007994344],"genre_scores_gemma":[0.9914784,0.0008747412,0.00556053,0.0000205068,0.000005568978,0.00002157078,0.0002280399,0.00003347041,0.001777292],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009498286,"threshold_uncertainty_score":0.002091885,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01044811437274064,"score_gpt":0.2242413441977745,"score_spread":0.2137932298250338,"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."}}