{"id":"W7095321296","doi":"","title":"Non-wood Forest Products Based on Extractives- A New Opportunity for the Canadian Forest Industry","year":2014,"lang":"en","type":"article","venue":"","topic":"Wood Treatment and Properties","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Forest industry; Taiga; Forest ecology; Forest management; Forest product; Biomass (ecology)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0005580101,0.000378772,0.000294535,0.001115899,0.00216733,0.001749955,0.000453707,0.0004026297,0.007783283],"category_scores_gemma":[0.0003044481,0.000115478,0.0003031578,0.001576505,0.001122352,0.0009089027,0.0005323747,0.0006836711,0.0004378753],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007690532,"about_ca_system_score_gemma":0.01766179,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7323421,"about_ca_topic_score_gemma":0.9683991,"domain_scores_codex":[0.9995746,0.00002567624,0.00001045737,0.00002818219,0.000281184,0.00007989322],"domain_scores_gemma":[0.9996698,0.00004289994,0.0000231896,0.00001396546,0.0001856702,0.0000644898],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005292118,0.0003526968,0.01073744,0.003728782,0.00005458287,0.002164717,0.002739759,0.000821477,0.1925199,0.03332838,0.03477646,0.7182466],"study_design_scores_gemma":[0.00002030465,0.0003158535,0.04146156,0.0009268873,0.0001112153,0.00116791,0.006460292,0.0003592683,0.04998988,0.005557215,0.8935267,0.0001027821],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"other","genre_scores_codex":[0.2942989,0.3319544,0.01165108,0.04018417,0.001001637,0.0003041773,0.002947636,0.0002379345,0.3174202],"genre_scores_gemma":[0.5701433,0.2823693,0.02268797,0.004434986,0.0002180369,0.00005217315,0.001066709,0.00008636552,0.1189411],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.2676579,"threshold_uncertainty_score":0.5384684,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04281550603471253,"score_gpt":0.2202436889988009,"score_spread":0.1774281829640884,"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."}}