{"id":"W7025094910","doi":"","title":"Troisième rapport d'activité du projet ERA-NET CORNET DAF3D","year":2023,"lang":"en","type":"report","venue":"ORBi (University of Liège)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"GDG Environnement","funders":"","keywords":"Textile; Reusability; Filter (signal processing); Industrial production; Water consumption; Production (economics); Sustainable production; Human life; Water treatment","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004417357,0.001438814,0.0006678613,0.001571899,0.0006789895,0.003149691,0.001494213,0.00152239,0.07408997],"category_scores_gemma":[0.004335782,0.0003673566,0.001217781,0.0008394954,0.0004741189,0.001840187,0.002362981,0.00212896,0.02809752],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009901843,"about_ca_system_score_gemma":0.001753529,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003240628,"about_ca_topic_score_gemma":0.001637449,"domain_scores_codex":[0.9971335,0.0007492906,0.0000997352,0.0005833425,0.001158467,0.0002756857],"domain_scores_gemma":[0.9972361,0.000582413,0.00009672088,0.0004026606,0.000842152,0.0008399526],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001802496,0.0008530621,0.003801991,0.0008369702,0.0001598957,0.001689133,0.001954896,0.005589937,0.04732972,0.03335444,0.1721824,0.7304451],"study_design_scores_gemma":[0.0002266441,0.0003609611,0.002320673,0.0001655223,0.0000303741,0.001032019,0.000249886,0.006438642,0.01772983,0.002417083,0.9689618,0.00006654808],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.09946599,0.01950192,0.4103239,0.01472576,0.01319432,0.001705907,0.0157676,0.04379861,0.381516],"genre_scores_gemma":[0.1841898,0.01023131,0.2360274,0.002227052,0.002635344,0.00168695,0.02905262,0.01433376,0.5196157],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.07408997,"threshold_uncertainty_score":0.2478557,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08646410676275634,"score_gpt":0.2653608433218844,"score_spread":0.1788967365591281,"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."}}