{"id":"W3177580709","doi":"10.3390/polym13142234","title":"Fire Retardancy, Water Absorption, and Viscoelasticity of Borated Wood—Polycarbonate Biocomposites","year":2021,"lang":"en","type":"article","venue":"Polymers","topic":"Natural Fiber Reinforced Composites","field":"Materials Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"FPInnovations; Université du Québec en Abitibi-Témiscamingue","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Wood flour; Absorption of water; Materials science; Composite material; Polycarbonate; Fire retardant; Boric acid; Thermal stability; Char; Creep; Cone calorimeter; Izod impact strength test; Fire performance; Combustion; Fire resistance; Ultimate tensile strength; Chemistry; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001624053,0.0002335784,0.00009554502,0.000172453,0.00009951846,0.0001393812,0.00006385257,0.0001346717,0.0003292001],"category_scores_gemma":[0.0001940754,0.0001293183,0.0001423428,0.000101973,0.0001394572,0.0001873174,0.00007538281,0.0002417403,0.00005757342],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008582362,"about_ca_system_score_gemma":0.00007301333,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003276661,"about_ca_topic_score_gemma":0.0006920248,"domain_scores_codex":[0.9999084,0.00001663249,0.0000073412,0.00001582856,0.00003366518,0.00001807538],"domain_scores_gemma":[0.9998393,0.00004525285,0.00005886693,0.000007909879,0.00002790932,0.00002068636],"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":[0.0000397267,0.00001149288,0.0003159694,0.00001782701,0.000003365032,0.00001600694,0.00001443943,0.00006489429,0.9987256,0.00001477811,0.000003772973,0.0007721254],"study_design_scores_gemma":[0.000002146979,0.0001726328,0.005529275,0.000002455564,0.000008113726,0.00005253437,0.00001643337,0.0004858711,0.9934973,0.000007047405,0.0002225452,0.000003669041],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989395,0.0004387259,0.0004336526,0.000005153136,0.000004458022,0.000002252787,0.00001319105,0.000005626538,0.0001575607],"genre_scores_gemma":[0.9989236,0.0002754313,0.0005090419,0.000006469749,0.000001988778,0.000003247063,0.00002834424,0.000003551641,0.0002482253],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0003292001,"threshold_uncertainty_score":0.001101255,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007206789020321559,"score_gpt":0.2170484829508041,"score_spread":0.2098416939304825,"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."}}