{"id":"W2910206228","doi":"10.1080/09593330.2018.1564072","title":"How microwaves can help to study membrane ageing","year":2019,"lang":"en","type":"article","venue":"Environmental Technology","topic":"Membrane Separation Technologies","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Institute of Circulatory and Respiratory Health; Université Libanaise; CHIST-ERA; Université de Rennes 1; Agence Nationale de la Recherche","keywords":"Ageing; Membrane; Fouling; Service life; Materials science; Chemistry; Chemical engineering; Process engineering; Composite material; Engineering; Biochemistry; Biology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.0008606255,0.0005610751,0.0004598307,0.0008740529,0.0003282937,0.0008483103,0.0003840258,0.001014914,0.002106608],"category_scores_gemma":[0.001195112,0.0003128031,0.0004872745,0.000601743,0.0008061877,0.001948066,0.0006646256,0.001856937,0.0009032023],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003086434,"about_ca_system_score_gemma":0.000142348,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002187062,"about_ca_topic_score_gemma":0.000314785,"domain_scores_codex":[0.9994319,0.0001388472,0.00004249687,0.0001572828,0.0001734614,0.00005598428],"domain_scores_gemma":[0.9994544,0.0002324885,0.0001021432,0.00008170606,0.0001008613,0.00002834429],"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":[0.00008691632,0.0000309336,0.0006709302,0.0005695523,0.00003155138,0.0001469751,0.0001623973,0.0002811573,0.9726476,0.001841141,0.0003976406,0.02313319],"study_design_scores_gemma":[0.00001126004,0.0003588708,0.002947772,0.00009779142,0.00007701062,0.001112818,0.0002362202,0.001550789,0.9415638,0.003058381,0.04892262,0.00006268034],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4120575,0.2324282,0.3153556,0.006742982,0.004054254,0.000290044,0.0009010544,0.001636603,0.02653386],"genre_scores_gemma":[0.8240804,0.07042275,0.09090058,0.001418787,0.0009146536,0.0001823423,0.0004661316,0.0003177114,0.01129656],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002106608,"threshold_uncertainty_score":0.007047296,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007166521016557148,"score_gpt":0.2101070223706325,"score_spread":0.2029405013540753,"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."}}