{"id":"W2749935951","doi":"10.1039/c7ra07032b","title":"Gas-switchable carbon nanotube/polymer hybrid membrane for separation of oil-in-water emulsions","year":2017,"lang":"en","type":"article","venue":"RSC Advances","topic":"Advanced Sensor and Energy Harvesting Materials","field":"Engineering","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Hospital Edmonton; University of Alberta","funders":"University of Alberta; Alberta Innovates; Alberta Innovates - Technology Futures","keywords":"Carbon nanotube; Polymer; Chemical engineering; Membrane; Materials science; Separation (statistics); Nanotechnology; Chemistry; Composite material; Computer science","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.0000855244,0.0001487747,0.0002698881,0.00005827403,0.000119833,0.00003074501,0.0001562544,0.00004128789,0.0000218988],"category_scores_gemma":[0.00005746831,0.0001239748,0.00004539673,0.00002178283,0.00004626369,0.0003936386,0.00002323544,0.0000452479,0.000004339185],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002177802,"about_ca_system_score_gemma":0.000005134159,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006765423,"about_ca_topic_score_gemma":0.0001116644,"domain_scores_codex":[0.9991729,0.0000102214,0.0002680639,0.0001714949,0.0000902363,0.0002871469],"domain_scores_gemma":[0.9994837,0.00005159939,0.00006826929,0.0003222745,0.00003319958,0.00004094815],"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":[0.00003424333,0.00001449827,0.0001174093,0.0001993817,0.0000109879,0.000003316266,0.0001164244,0.0945241,0.8999868,0.0001964109,0.00001349945,0.0047829],"study_design_scores_gemma":[0.0004124792,0.00002536099,0.00005619976,0.00009027106,0.00001011411,0.000003181279,0.00002257467,0.006998529,0.986487,0.0008605787,0.004862334,0.0001714299],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9909533,0.0007798932,0.0009076357,0.00004741683,0.0008679542,0.00008398628,0.00002188104,0.0001029267,0.006234983],"genre_scores_gemma":[0.9969236,0.0004416452,0.001364567,0.00000823437,0.0001391277,0.00005050538,0.00002099949,0.00003521053,0.001016135],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08752557,"threshold_uncertainty_score":0.5055544,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0145643845884977,"score_gpt":0.2647728662978399,"score_spread":0.2502084817093422,"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."}}