{"id":"W3007481449","doi":"10.1016/j.matdes.2020.108589","title":"Improving lignocellulose thermal stability by chemical modification with boric acid for incorporating into polyamide","year":2020,"lang":"en","type":"article","venue":"Materials & Design","topic":"Advanced Cellulose Research Studies","field":"Materials Science","cited_by":69,"is_retracted":false,"has_abstract":true,"ca_institutions":"FPInnovations; Université du Québec en Abitibi-Témiscamingue","funders":"Fundamental Research Funds for the Central Universities; China Scholarship Council; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Boric acid; Thermal stability; Materials science; Polyamide; Composite material; Cellulose; Chemical engineering; Organic chemistry; 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":[0.001094261,0.0003036659,0.0004474997,0.00002853944,0.0002817844,0.0002157726,0.0003961703,0.00009580168,0.0001213928],"category_scores_gemma":[0.0006521888,0.0002404473,0.00003849167,0.0001822441,0.000240355,0.0004241898,0.0001875303,0.00009520017,0.00005370367],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001575984,"about_ca_system_score_gemma":0.0001490711,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007881147,"about_ca_topic_score_gemma":0.000001168993,"domain_scores_codex":[0.9975258,0.0002830919,0.0005117005,0.0007197845,0.0004059839,0.0005536896],"domain_scores_gemma":[0.9986691,0.0002674581,0.0003279746,0.0003375427,0.0001996413,0.000198264],"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":[0.0008588168,0.00005558611,0.00001622229,0.000264073,0.00001165251,0.000003501289,0.0006157432,0.00005262683,0.9968874,0.0000981273,0.0001425609,0.000993698],"study_design_scores_gemma":[0.0005613222,0.0003597286,0.000009408695,0.0000188371,0.00002335422,0.000001133894,0.000200109,0.0007106558,0.997052,0.000737974,0.00003417942,0.0002913009],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6932115,0.0001879127,0.304744,0.0004456779,0.0000722011,0.001064779,0.00008428445,0.000174019,0.0000155813],"genre_scores_gemma":[0.9138098,0.000005723528,0.08525488,0.0001016444,0.0002394572,0.0004792512,0.00004821413,0.0000529033,0.000008164626],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2205983,"threshold_uncertainty_score":0.9805157,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04582892938699473,"score_gpt":0.2718670400249057,"score_spread":0.226038110637911,"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."}}