{"id":"W4200322074","doi":"10.1002/admi.202101659","title":"Interfacial Assembly of Graphene Oxide: From Super Elastic Interfaces to Liquid‐in‐Liquid Printing","year":2021,"lang":"en","type":"article","venue":"Advanced Materials Interfaces","topic":"Pickering emulsions and particle stabilization","field":"Materials Science","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Materials science; Graphene; Elastic modulus; Oxide; Rheology; Nanotechnology; Elasticity (physics); Fluidics; Microfluidics; Interface (matter); Chemical engineering; Electronics; Composite material; Wetting; Chemistry","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003923968,0.0003063862,0.0006178268,0.0001551673,0.00007608561,0.0001317182,0.0004211625,0.000109428,0.00150996],"category_scores_gemma":[0.0007004201,0.0002922572,0.00005045662,0.0003623038,0.0001048312,0.0005391538,0.0005196763,0.00009663984,0.000169714],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007224117,"about_ca_system_score_gemma":0.0000597135,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002910485,"about_ca_topic_score_gemma":0.00045989,"domain_scores_codex":[0.9972982,0.0002293589,0.001003774,0.0006938894,0.0002795272,0.0004952409],"domain_scores_gemma":[0.9986939,0.0002169224,0.0002389872,0.0004980437,0.0002390241,0.0001131],"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":[0.0009712953,0.0001193711,0.0001682962,0.00007184939,0.00001405953,0.00001109654,0.001171549,0.002585918,0.9943144,0.0002456726,0.00001152287,0.0003150031],"study_design_scores_gemma":[0.0004735348,0.0004029454,0.001153681,0.0006286107,0.00001773768,0.000004542265,0.0007744951,0.00002663306,0.9957107,0.0002342489,0.0002631165,0.0003097999],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9931968,0.0001780892,0.004041039,0.0001288422,0.001776656,0.000273707,0.0001450855,0.0001083644,0.000151451],"genre_scores_gemma":[0.9926226,0.00004238407,0.007035404,0.00006714736,0.00006354529,0.00005601784,0.00002083813,0.00004178088,0.00005034151],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002994365,"threshold_uncertainty_score":0.999953,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01576485285823833,"score_gpt":0.2797081747476706,"score_spread":0.2639433218894323,"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."}}