{"id":"W2072820422","doi":"10.1007/s002260050003","title":"Particleboard made from hammer milled black spruce bark residues","year":2000,"lang":"en","type":"article","venue":"Wood Science and Technology","topic":"Natural Fiber Reinforced Composites","field":"Materials Science","cited_by":85,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval","funders":"","keywords":"Bark (sound); Pulp and paper industry; Urea-formaldehyde; Kiln; Materials science; Black spruce; Composite material; Factorial experiment; Particle board; Environmental science; Waste management; Adhesive; Mathematics; Engineering; Forestry; Layer (electronics)","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003056761,0.0001534039,0.0002077228,0.0002207437,0.0003268981,0.0001539328,0.0007894167,0.0001400337,0.0008214596],"category_scores_gemma":[0.0001232117,0.0001236371,0.00002070141,0.001134129,0.00209229,0.0004169593,0.0002015512,0.0001685229,0.001016674],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003835541,"about_ca_system_score_gemma":0.00008096884,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001119916,"about_ca_topic_score_gemma":0.00002297037,"domain_scores_codex":[0.9982385,0.00002076,0.0002262873,0.0005684608,0.0003860926,0.0005599143],"domain_scores_gemma":[0.9991822,0.00005575195,0.00003746173,0.0005011494,0.0001053786,0.0001180151],"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":[0.00001816343,0.000008635891,0.0002187193,0.000001853938,0.000002376063,0.00001037537,0.0001090149,0.00000566845,0.9897269,0.002023638,0.0004215159,0.007453135],"study_design_scores_gemma":[0.0002880339,0.00009477996,0.0008609199,0.00001683677,0.000009538076,0.00001643637,0.000100675,0.0002928211,0.9852561,0.008470179,0.004411322,0.0001823383],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9934143,0.0004881728,0.000009598461,0.003110857,0.0001069886,0.0001498983,0.000006848504,0.0003183131,0.002395031],"genre_scores_gemma":[0.99562,0.00004595113,0.003316966,0.0003501126,0.00003767067,0.00001097919,0.00000100697,0.00000830819,0.0006089967],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007270797,"threshold_uncertainty_score":0.9997612,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007819485535955956,"score_gpt":0.2286018193290132,"score_spread":0.2207823337930572,"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."}}