{"id":"W3047611650","doi":"10.1016/j.ijbiomac.2020.07.273","title":"Biocomposite foams based on polyhydroxyalkanoate and nanocellulose: Morphological and thermo-mechanical characterization","year":2020,"lang":"en","type":"article","venue":"International Journal of Biological Macromolecules","topic":"biodegradable polymer synthesis and properties","field":"Materials Science","cited_by":33,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Unitatea Executiva pentru Finantarea Invatamantului Superior, a Cercetarii, Dezvoltarii si Inovarii; Ontario Ministry of Research, Innovation and Science","keywords":"Biocomposite; Materials science; Nanocellulose; Composite material; Polyhydroxyalkanoates; Porosity; Polymer; Molding (decorative); Chemical engineering; Cellulose; Composite number","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002050202,0.0001532772,0.0002451117,0.00005137482,0.00006620742,0.0001428449,0.0003113894,0.0001115988,0.0002358429],"category_scores_gemma":[0.0001264562,0.00008923485,0.00007152151,0.00004487823,0.0001791693,0.00008676436,0.0001112842,0.0001402049,0.00001417534],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001224048,"about_ca_system_score_gemma":0.00001621527,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004537636,"about_ca_topic_score_gemma":1.237287e-7,"domain_scores_codex":[0.9988092,0.0001734205,0.0003686877,0.0002331011,0.0002706131,0.0001449457],"domain_scores_gemma":[0.9993389,0.0001190509,0.0002401562,0.00005644136,0.0000939909,0.000151412],"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":[0.0005245322,0.00006933231,0.0004644744,0.00000419464,0.00001687524,0.0001767315,0.00003635483,0.000001467186,0.9786433,0.0004027154,0.00000844101,0.0196516],"study_design_scores_gemma":[0.0004969248,0.001080645,0.003710103,0.00005692926,0.00001243239,0.0002502904,0.00002005213,0.002399349,0.9908153,0.0002415863,0.0007631903,0.0001532156],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9847694,0.0009554255,0.002716483,0.01114173,0.0002133553,0.00005532669,0.00005429241,0.00002161412,0.00007234079],"genre_scores_gemma":[0.9953713,0.0002463498,0.001098982,0.00307949,0.0001804676,0.00000225925,0.000008601233,0.000007629128,0.000004939226],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01949839,"threshold_uncertainty_score":0.3638892,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02724396628551921,"score_gpt":0.2315490017156379,"score_spread":0.2043050354301186,"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."}}