{"id":"W2804078752","doi":"10.1139/cjfr-2017-0457","title":"Assessing the potential impact of a biorefinery product from sawmill residues on the profitability of a hardwood value chain","year":2018,"lang":"en","type":"article","venue":"Canadian Journal of Forest Research","topic":"Plant biochemistry and biosynthesis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Fonds de recherche du Québec – Nature et technologies; Ministère des Forêts, de la Faune et des Parcs","keywords":"Profitability index; Revenue; Net profit; Pulp and paper industry; Betulin; Agricultural science; Profit (economics); Profit margin; Biorefinery; Business; Mathematics; Raw material; Economics; Environmental science; Microeconomics; Marketing; Engineering; Chemistry; Biology; Ecology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002603605,0.0001187689,0.0001860026,0.000107018,0.0002287321,0.00006082822,0.0006537544,0.0001105966,0.00004898005],"category_scores_gemma":[0.001769084,0.00006045082,0.000204065,0.0002263343,0.001022839,0.000009379766,0.00005204217,0.0003204503,0.000001455079],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005867898,"about_ca_system_score_gemma":0.00236908,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007110266,"about_ca_topic_score_gemma":0.007018183,"domain_scores_codex":[0.9982891,0.0004468154,0.0003346136,0.0001960732,0.0003711194,0.000362253],"domain_scores_gemma":[0.9982239,0.0001606031,0.0002157686,0.0005039542,0.0006904001,0.0002053452],"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":[0.0002884804,0.00005108625,0.06861804,0.00002232842,0.000191424,0.00001831341,0.0001050611,0.00003138385,0.9249263,0.00003770945,0.004876453,0.0008333754],"study_design_scores_gemma":[0.0001353082,0.0006298761,0.2403198,0.000111128,0.00001686183,0.00003666893,0.0001989832,0.0000184299,0.7577837,0.0003656031,0.0003192576,0.00006439121],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970623,0.0005518274,0.00001228188,0.00150948,0.00006552535,0.0001641506,0.0002074493,7.206446e-7,0.0004263203],"genre_scores_gemma":[0.9991099,0.00002875808,0.0000820339,0.00002258262,0.0006690431,0.000002612337,0.00001625674,0.000009937905,0.00005887991],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1717017,"threshold_uncertainty_score":0.9995015,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04473993917837624,"score_gpt":0.3404331345272741,"score_spread":0.2956931953488979,"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."}}