{"id":"W4224092916","doi":"10.4067/s0718-221x2022000100418","title":"Effect of the thermal treatment on the chemical components, sorption, and shrinkage properties of Tectona grandis juvenile wood","year":2022,"lang":"es","type":"article","venue":"Maderas Ciencia y tecnología","topic":"Wood Treatment and Properties","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Division of Graduate Education; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Université Laval","keywords":"Shrinkage; Equilibrium moisture content; Sorption; Chemistry; Tectona; Cellulose; Lignin; Composite material; Thermal treatment; Pinus densiflora; Moisture; Swelling; Materials science; Adsorption; Botany; Organic chemistry","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003048055,0.0003484237,0.0004517181,0.0000854305,0.0004324567,0.00003457986,0.0004156749,0.00008947746,0.0001540147],"category_scores_gemma":[0.00004134135,0.000164285,0.0002027619,0.0002644356,0.000473291,0.00005140795,0.0002598731,0.0002934517,0.000006550864],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001636002,"about_ca_system_score_gemma":0.00003551491,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001137282,"about_ca_topic_score_gemma":0.000002863621,"domain_scores_codex":[0.9983006,0.0003687588,0.0003473398,0.0002801057,0.0003767992,0.0003263581],"domain_scores_gemma":[0.9991522,0.000186989,0.0001388939,0.0004654704,0.00002122739,0.00003517873],"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":[0.0003954234,0.0003992114,0.0183208,0.0002839168,0.0004034725,0.000004133335,0.002953011,0.0006240717,0.9679476,0.00055439,0.00008262827,0.008031348],"study_design_scores_gemma":[0.001307733,0.001852156,0.01561874,0.0001269216,0.0002059504,0.00001389853,0.0002436063,0.0005921457,0.9789526,0.00002630598,0.0008654409,0.0001944895],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9922543,0.004518737,5.931259e-7,0.0008576969,0.0001592416,0.0009135278,0.0000543171,0.00006661725,0.001175016],"genre_scores_gemma":[0.9993109,0.0001202758,0.000004055423,0.00003007676,0.00003356528,0.0002717485,0.000006035667,0.00003284303,0.0001905005],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01100502,"threshold_uncertainty_score":0.6699346,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01368520512218449,"score_gpt":0.1910720500508603,"score_spread":0.1773868449286758,"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."}}