{"id":"W2124885209","doi":"10.15376/biores.3.2.517-537","title":"Effect of thermal treatment on the chemical composition and mechanical properties of birch and aspen","year":2008,"lang":"en","type":"article","venue":"BioResources","topic":"Wood Treatment and Properties","field":"Engineering","cited_by":306,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Chicoutimi","funders":"Université du Québec à Chicoutimi","keywords":"Hemicellulose; Lignin; Chemical composition; Cellulose; Inverse gas chromatography; Materials science; Fourier transform infrared spectroscopy; Crystallization; Composite material; Chemical structure; Chemical engineering; Decomposition; Chemistry; Polymer; Organic chemistry","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000438256,0.00008953278,0.0001373686,0.00001978206,0.00003495713,0.000004962798,0.00003334825,0.00003339262,0.000005135828],"category_scores_gemma":[0.000003539473,0.00004108433,0.00002554627,0.00002410348,0.0001181773,0.00001661513,0.00001321387,0.00002586357,0.000001281702],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008028488,"about_ca_system_score_gemma":0.000001689978,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002397927,"about_ca_topic_score_gemma":5.466222e-7,"domain_scores_codex":[0.9996893,0.00003735365,0.00008099104,0.00006262319,0.00006593313,0.00006374394],"domain_scores_gemma":[0.9998233,0.00006996426,0.00001437545,0.00006934982,0.000005222092,0.0000177922],"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":[0.0002140441,0.00003665494,0.002195468,0.0000732158,0.00009206552,0.00000167772,0.001244271,0.00002162587,0.9921448,0.00004640429,0.00001080381,0.003918977],"study_design_scores_gemma":[0.0003350522,0.0006187076,0.001330091,0.00004478097,0.00003031834,0.000006428526,0.00002267625,0.0004657101,0.9970518,0.000001877348,0.00004771104,0.00004480617],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976802,0.001779054,3.52883e-7,0.00005207118,0.000009422458,0.0001564321,0.000002915075,0.00002637685,0.0002932158],"genre_scores_gemma":[0.9998071,0.0001247829,0.00001264969,0.000002887911,0.00001795564,0.00001521662,0.000001126334,0.000007945258,0.00001039715],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004907048,"threshold_uncertainty_score":0.167537,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01874627944759418,"score_gpt":0.18827990682389,"score_spread":0.1695336273762958,"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."}}