{"id":"W1877588186","doi":"10.1039/c5sm00922g","title":"Preparation of Pickering emulsions stabilized by metal organic frameworks using oscillatory woven metal micro-screen","year":2015,"lang":"en","type":"article","venue":"Soft Matter","topic":"Pickering emulsions and particle stabilization","field":"Materials Science","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Pickering emulsion; Materials science; Metal; Pulmonary surfactant; Chemical engineering; Emulsion; Oscillation (cell signaling); Particle (ecology); Particle size; Nanoparticle; Nano-; Nanotechnology; Composite material; Chemistry; Metallurgy","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002203163,0.0003851692,0.0003378663,0.0003578231,0.0001358042,0.0002508854,0.0002270496,0.0002683257,0.0003962158],"category_scores_gemma":[0.0003003949,0.0001791378,0.0002660628,0.0002304461,0.0001368143,0.0003261605,0.0002331323,0.0003438688,0.00015915],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002652136,"about_ca_system_score_gemma":0.0001583719,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006058577,"about_ca_topic_score_gemma":0.001374038,"domain_scores_codex":[0.9998777,0.00001010804,0.00001286296,0.00003789573,0.0000419236,0.00001945895],"domain_scores_gemma":[0.9998968,0.00002279672,0.00003423669,0.000008544037,0.00002385941,0.00001385862],"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":[0.00001530079,0.000004714132,0.00003179193,0.00002052093,0.00000275741,0.00002433994,0.000007342309,0.0001416537,0.9983804,0.00004774646,0.000009518024,0.001313885],"study_design_scores_gemma":[0.000004369969,0.00004038688,0.0002632737,0.000001356651,0.000005116994,0.00002263115,0.000003526713,0.001121646,0.9982173,0.00001473257,0.0003020133,0.00000356213],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9612267,0.001420531,0.03534408,0.0000462462,0.00003787219,0.00008985903,0.0001967634,0.0002751399,0.001362796],"genre_scores_gemma":[0.9703894,0.0009001377,0.02685804,0.00002873596,0.00001041153,0.00004526764,0.0001553819,0.00004756629,0.001565063],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006058577,"threshold_uncertainty_score":0.001924276,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02649646222516407,"score_gpt":0.2981034038854648,"score_spread":0.2716069416603007,"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."}}