{"id":"W4413196085","doi":"10.1016/j.indcrop.2025.121664","title":"Catalytic heat treatment of wood with exogenous phosphoric acid: Enhancing thermo-chemical modification efficiency and fire resistance","year":2025,"lang":"en","type":"article","venue":"Industrial Crops and Products","topic":"Flame retardant materials and properties","field":"Materials Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"China Scholarship Council; University of British Columbia; National Natural Science Foundation of China","keywords":"Phosphoric acid; Chemical modification; Catalysis; Chemistry; Fire resistance; Pulp and paper industry; Heat resistance; Chemical engineering; Materials science; Organic chemistry; Composite material; Biochemistry","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":[0.0001709647,0.0002971579,0.0002094617,0.0001722466,0.00008458707,0.0002709535,0.0001636751,0.000224272,0.0005022283],"category_scores_gemma":[0.0001130888,0.0001384748,0.0003412683,0.0001352889,0.0001384633,0.0002209438,0.000151582,0.0002812679,0.0001348046],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001381194,"about_ca_system_score_gemma":0.0001245134,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004342433,"about_ca_topic_score_gemma":0.0008253389,"domain_scores_codex":[0.9998977,0.00001364446,0.000008217276,0.00002218576,0.00003310871,0.00002504922],"domain_scores_gemma":[0.9999626,0.000006033904,0.00001148679,0.000004511271,0.000009044645,0.000006336885],"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":[0.00003102394,0.00001126311,0.0001526064,0.00003622141,0.000004019641,0.00002052336,0.000005494868,0.00006559456,0.9980587,0.00002741292,0.000007851715,0.001579147],"study_design_scores_gemma":[0.00000297274,0.00008093968,0.001363392,0.000001847101,0.0000093804,0.0000440662,0.000006376151,0.0005028485,0.9975939,0.000008748724,0.0003828275,0.00000264684],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9945398,0.001331039,0.003070892,0.00001991455,0.00001543728,0.00001210305,0.00004421727,0.00002468885,0.0009419219],"genre_scores_gemma":[0.9961179,0.0005317595,0.002311982,0.0000157273,0.000003700776,0.00001172925,0.00006385351,0.000007874767,0.0009353619],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005022283,"threshold_uncertainty_score":0.001680136,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02748606754238518,"score_gpt":0.227956983898219,"score_spread":0.2004709163558339,"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."}}