{"id":"W3169826333","doi":"","title":"Improvement of ductility and toughness of wood polypropylene-composites","year":2019,"lang":"en","type":"article","venue":"","topic":"Material Properties and Applications","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec en Abitibi-Témiscamingue","funders":"","keywords":"Composite material; Toughness; Polypropylene; Materials science; Ductility (Earth science); Creep","routes":{"ca_aff":true,"ca_fund":false,"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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001044279,0.00004864171,0.0001266159,0.00001150601,0.00001752809,0.0000111795,0.00009069335,0.00001815603,0.001479317],"category_scores_gemma":[0.000003593809,0.00003345372,0.00001467667,0.00003179083,0.00005804976,0.00005916604,0.00008621025,0.00001097163,0.0000195523],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003781601,"about_ca_system_score_gemma":0.00001033251,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004188566,"about_ca_topic_score_gemma":0.00000363109,"domain_scores_codex":[0.9995265,0.000008036545,0.0001838218,0.0001292556,0.00007718914,0.00007520503],"domain_scores_gemma":[0.9996467,0.00001040888,0.00007054121,0.0002072377,0.00004414664,0.00002099458],"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":[0.0000237557,0.0000432661,0.0006348249,0.0001175386,0.000001969889,1.210807e-8,0.0000598452,0.000001901512,0.9962208,0.002401863,0.00001715582,0.0004770505],"study_design_scores_gemma":[0.000122445,0.00009441278,0.002235383,0.000008497145,0.000004030196,3.496617e-7,0.0001070653,0.00003686601,0.9968726,0.0003154179,0.0001613488,0.00004160713],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976012,0.00003662376,0.00007177048,0.0001062527,0.00008656755,0.0002120437,0.00001717911,0.00001229484,0.001856104],"genre_scores_gemma":[0.9984736,0.000005509383,0.001033868,0.00002044912,0.00001203385,0.000008145595,0.000001093997,0.000003160233,0.0004420669],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002086445,"threshold_uncertainty_score":0.9994335,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008550643052229587,"score_gpt":0.2187877965310466,"score_spread":0.2102371534788171,"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."}}