{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002473654,0.0009753213,0.002105725,0.001674313,0.0004335865,0.00006303717,0.001707181,0.001201237,0.002096363],"category_scores_gemma":[0.00009048422,0.001298484,0.0009739763,0.001885969,0.0006688682,0.0006921671,0.001082917,0.001507938,0.008058583],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001337967,"about_ca_system_score_gemma":0.005762409,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01872846,"about_ca_topic_score_gemma":0.002572911,"domain_scores_codex":[0.9934822,0.0003636913,0.0006094461,0.001621883,0.002834451,0.001088334],"domain_scores_gemma":[0.9940956,0.000260835,0.002110801,0.001799968,0.001238429,0.0004943589],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003867861,0.0004250004,0.03396415,0.000692123,0.001282036,0.003321654,0.00104252,0.00001968924,0.0006257202,0.00009830682,0.9564279,0.001714076],"study_design_scores_gemma":[0.002380307,0.000449403,0.1661745,0.0006886605,0.001598206,0.0004399116,0.002346204,0.0001620931,0.00006361634,0.0001479066,0.8236325,0.00191671],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3378752,0.000489864,0.0005883965,0.002445508,0.005794471,0.005218861,0.01413914,0.005043095,0.6284055],"genre_scores_gemma":[0.5806646,0.002443119,0.001461357,0.00004452523,0.00122481,0.000005514174,0.005053294,0.0009759015,0.4081269],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.2427894,"threshold_uncertainty_score":0.999874,"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."}}