{"id":"W2747329792","doi":"10.3166/rcma.26.383-400","title":"Élaboration des Élaboration des plaques de calage issues d’agroressources par extrusion réactive. Optimisation des relations procédés-structures - propriétés","year":2016,"lang":"fr","type":"article","venue":"Revue des composites et des matériaux avancés","topic":"Manufacturing Process and Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Psychology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009980828,0.001305021,0.0008483233,0.001127979,0.000691731,0.002901655,0.0007973588,0.002006186,0.01176367],"category_scores_gemma":[0.002311103,0.0004790127,0.001262556,0.0006537164,0.0009119379,0.001066695,0.0009832915,0.001402837,0.00169539],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006812782,"about_ca_system_score_gemma":0.0005618176,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0015126,"about_ca_topic_score_gemma":0.001406317,"domain_scores_codex":[0.9994208,0.00009352646,0.00002141366,0.0001035361,0.0003139325,0.00004676414],"domain_scores_gemma":[0.9990805,0.0004972758,0.00006629338,0.000112674,0.0002168463,0.00002633849],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0006806441,0.0002712501,0.001681634,0.001613899,0.000122339,0.001389052,0.001050633,0.4662804,0.2674128,0.07262215,0.002965786,0.1839094],"study_design_scores_gemma":[0.0001186274,0.0005687295,0.006268758,0.0003172424,0.0001785874,0.001183132,0.0006672679,0.6752518,0.2042623,0.03937255,0.07170203,0.0001090779],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1637279,0.002027584,0.7820954,0.0005504835,0.0002950488,0.0001681129,0.0002265542,0.001158576,0.04975021],"genre_scores_gemma":[0.7124947,0.001966203,0.2519086,0.0001199769,0.00008703679,0.0001921672,0.0003926488,0.0007025205,0.03213611],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01176367,"threshold_uncertainty_score":0.03935337,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03604552327733438,"score_gpt":0.2770084627966161,"score_spread":0.2409629395192817,"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."}}