{"id":"W4391734551","doi":"10.1002/adma.202311013","title":"Engineering Dual CO<sub>2</sub>‐ and Photothermal‐Responsive Membranes for Switchable Double Emulsion Separation","year":2024,"lang":"en","type":"article","venue":"Advanced Materials","topic":"Pickering emulsions and particle stabilization","field":"Materials Science","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"Fundamental Research Funds for the Central Universities; National Natural Science Foundation of China; National Key Research and Development Program of China; Natural Science Foundation of Xinjiang Province","keywords":"Materials science; Photothermal therapy; Emulsion; Membrane; Dual (grammatical number); Chemical engineering; Nanotechnology; Photothermal effect; Separation (statistics)","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":[0.0001448654,0.0004405523,0.0001884511,0.0001931957,0.0001961276,0.000295272,0.0002215148,0.0004431148,0.0005137351],"category_scores_gemma":[0.0001796423,0.0002320893,0.0001827982,0.0001351821,0.0002276386,0.0004359353,0.0003131483,0.000399662,0.0003209466],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004881937,"about_ca_system_score_gemma":0.0002611121,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005440058,"about_ca_topic_score_gemma":0.001128393,"domain_scores_codex":[0.9999136,0.000009363564,0.000005925916,0.00002055009,0.0000271834,0.00002332733],"domain_scores_gemma":[0.9998778,0.00001916178,0.00004643109,0.000008798835,0.00002687251,0.00002091285],"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":[0.000009526881,0.000007090013,0.00002876748,0.00001545616,0.000001721477,0.00001655277,0.000004335059,0.00008993564,0.9990655,0.00008433039,0.00002485521,0.0006519665],"study_design_scores_gemma":[0.0000042152,0.0000225252,0.0001979785,0.000001511648,0.000002900766,0.0000298947,0.000004316938,0.001278491,0.9978207,0.00002216739,0.0006129121,0.000002449726],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9752763,0.0008385202,0.02110349,0.0001283781,0.00006394626,0.00005203447,0.00007539283,0.0001600258,0.002301821],"genre_scores_gemma":[0.9766049,0.0005271873,0.02038497,0.00005649783,0.00001427996,0.00004921366,0.0000668008,0.00004357586,0.002252448],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005440058,"threshold_uncertainty_score":0.003542125,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01310386747594373,"score_gpt":0.2860574509109327,"score_spread":0.2729535834349889,"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."}}