{"id":"W2884165218","doi":"","title":"Filtre adsorbant à base de nanofibres électrofilées pour le traitement des eaux de procédés d'usines papetières","year":2017,"lang":"fr","type":"article","venue":"Le dépôt institutionnel (Université du Québec à Trois-Rivières)","topic":"Electrospun Nanofibers in Biomedical Applications","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada; Centre québécois sur les matériaux fonctionnels","keywords":"Political science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0001571952,0.000323067,0.0002433602,0.000347346,0.0003206698,0.0003832355,0.0002228515,0.0004453645,0.00394916],"category_scores_gemma":[0.0003110034,0.000177255,0.0003597476,0.0002008639,0.0001607413,0.0004550259,0.0001881663,0.0003692227,0.0007190271],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002407289,"about_ca_system_score_gemma":0.000197236,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001653221,"about_ca_topic_score_gemma":0.004788052,"domain_scores_codex":[0.9998618,0.000009771521,0.000008343785,0.00003235617,0.00006513487,0.00002254039],"domain_scores_gemma":[0.9998837,0.00003084924,0.00002664705,0.00001061645,0.00003837639,0.000009825223],"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":[0.0001009495,0.00003484125,0.0002799084,0.0002888798,0.00001265528,0.0002061234,0.00006137979,0.0004720734,0.9801713,0.0001917388,0.0005003673,0.0176798],"study_design_scores_gemma":[0.000008636138,0.0004427815,0.003493841,0.00004664958,0.00002868546,0.0002780395,0.0001004097,0.003224187,0.9806185,0.00006098165,0.0116771,0.00002024223],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9527679,0.006633789,0.02317808,0.0002850005,0.0003652126,0.0001121057,0.0002894685,0.0006543426,0.01571413],"genre_scores_gemma":[0.945801,0.00398845,0.01264763,0.0001579324,0.00004732638,0.00008794873,0.000264194,0.0001105056,0.03689493],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00394916,"threshold_uncertainty_score":0.01321125,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01504028044771264,"score_gpt":0.2230466800132846,"score_spread":0.208006399565572,"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."}}