{"id":"W2611864280","doi":"","title":"Effects of Hot-Water Treatment of Black Spruce and Trembling Aspen Bark RAW Material on the Physical and Mechanical Properties of Bark Particleboard","year":2008,"lang":"en","type":"article","venue":"Wood and Fiber Science (Society of Wood Science and Technology)","topic":"Natural Fiber Reinforced Composites","field":"Materials Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fonds Québécois de la Recherche sur la Nature et les Technologies","keywords":"Bark (sound); Adhesive; Formaldehyde; Swelling; Materials science; Raw material; Black spruce; Pulp and paper industry; Composite material; Flexural strength; Curing (chemistry); Chemistry; Organic chemistry; Forestry","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000161036,0.0006326908,0.0003717411,0.0002197463,0.0002035682,0.0002759545,0.0001562046,0.0002536388,0.001308697],"category_scores_gemma":[0.000220725,0.0002316246,0.0002920626,0.0001752178,0.0002276195,0.0002510951,0.0001148557,0.0004199905,0.0001878434],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001697296,"about_ca_system_score_gemma":0.0001765976,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002144479,"about_ca_topic_score_gemma":0.005447769,"domain_scores_codex":[0.9998611,0.0000212396,0.00001435261,0.00002706849,0.00003315195,0.00004311357],"domain_scores_gemma":[0.9997433,0.00008272305,0.00006111703,0.00001555862,0.00003845424,0.00005883141],"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":[0.0003516805,0.0000558654,0.0003144025,0.00006654653,0.00001333692,0.00004113328,0.00003406527,0.0001140304,0.9980518,0.000007083366,0.00001096447,0.0009391671],"study_design_scores_gemma":[0.000008904663,0.0009277823,0.009224566,0.000005147739,0.00003094343,0.00003104936,0.00005106483,0.0002091746,0.9892147,0.000009234427,0.0002783987,0.000009010847],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986424,0.0006247004,0.0002228046,0.00001009676,0.00001307191,0.00001240341,0.00008838776,0.00001249788,0.0003737391],"genre_scores_gemma":[0.9982291,0.0003262623,0.0004885928,0.0000251919,0.000004842872,0.000009183473,0.0001495425,0.0000118353,0.0007554472],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002144479,"threshold_uncertainty_score":0.00437808,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01415567229243546,"score_gpt":0.2189046495067704,"score_spread":0.204748977214335,"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."}}