{"id":"W2253096766","doi":"10.15376/biores.11.2.3049-3072","title":"Pine Wood Treated with a Citric Acid and Glycerol Mixture: Biomaterial Performance Improved by a Bio-byproduct","year":2016,"lang":"en","type":"article","venue":"BioResources","topic":"Wood Treatment and Properties","field":"Engineering","cited_by":57,"is_retracted":false,"has_abstract":true,"ca_institutions":"FPInnovations; Université Laval","funders":"FPInnovations","keywords":"Glycerol; Citric acid; Biomaterial; Materials science; Pulp and paper industry; Pinus <genus>; Organic chemistry; Chemistry; Botany; Nanotechnology; Engineering; Biology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001006402,0.0005020545,0.0001145061,0.0002439903,0.0001071989,0.0002053076,0.0001263285,0.0002096321,0.0009304127],"category_scores_gemma":[0.00008943134,0.0001153099,0.0001759461,0.0001336487,0.000109475,0.0001674989,0.0001026128,0.0002073186,0.0001660597],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001026389,"about_ca_system_score_gemma":0.0001313478,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007831503,"about_ca_topic_score_gemma":0.002180376,"domain_scores_codex":[0.9999341,0.000007960623,0.000005514168,0.00001503055,0.00001965113,0.00001780173],"domain_scores_gemma":[0.9999372,0.00001091293,0.00001832727,0.000005898944,0.0000103975,0.0000173288],"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":[0.00003838532,0.000009167202,0.00005814087,0.00002282993,0.000001625964,0.00001971008,0.000005544648,0.00003242811,0.9992002,0.00001058161,0.000005152137,0.0005962125],"study_design_scores_gemma":[0.000002086228,0.0001471208,0.001538959,0.000003895684,0.000009513778,0.00004098923,0.000009455075,0.0001103463,0.9977133,0.000005040471,0.0004169305,0.000002305283],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959683,0.001310498,0.001223054,0.00001601699,0.00001744444,0.00001789942,0.0001194234,0.00003551935,0.00129181],"genre_scores_gemma":[0.9971916,0.0003941951,0.001151342,0.00001385421,0.000002734527,0.000009242248,0.00007789121,0.000009784968,0.001149301],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009304127,"threshold_uncertainty_score":0.003112495,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004367805603112289,"score_gpt":0.1509266855870798,"score_spread":0.1465588799839675,"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."}}