{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009688424,0.0001707402,0.0002596224,0.00005740558,0.00009293387,0.00006693349,0.0001515968,0.00007946126,0.0006201427],"category_scores_gemma":[0.00002627791,0.0001295836,0.00005613816,0.0001959345,0.0001671199,0.0002012049,0.0001629297,0.00009501039,0.00005868422],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002034901,"about_ca_system_score_gemma":0.00003599127,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001716133,"about_ca_topic_score_gemma":0.000006474538,"domain_scores_codex":[0.9987802,0.00006722293,0.0003044943,0.0003077918,0.0002259582,0.0003143626],"domain_scores_gemma":[0.9993812,0.00006828121,0.00008439636,0.0002440589,0.000118024,0.0001040084],"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":[0.00004460545,0.00001448821,0.0003845682,0.00004204405,0.00002053246,0.00001390222,0.0001875589,0.00003199541,0.9985946,0.0002116596,0.00004640942,0.000407587],"study_design_scores_gemma":[0.0002972897,0.00004833412,0.0009240897,0.00004740532,0.00003465436,0.00002973504,0.0000304572,0.0004611013,0.9975954,0.0001694999,0.0001836567,0.0001783518],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.995789,0.002462377,0.00005734109,0.0004571745,0.0002643398,0.00009105529,0.00003081112,0.00007350407,0.0007744309],"genre_scores_gemma":[0.9983153,0.00003967272,0.0008683302,0.0001279172,0.00003859604,0.000004841489,0.00003919049,0.00001633864,0.0005498094],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002526338,"threshold_uncertainty_score":0.6790128,"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."}}