{"id":"W3126541260","doi":"10.1039/d0sm02188a","title":"Immobilising giant unilamellar vesicles with zirconium metal–organic framework anchors","year":2021,"lang":"en","type":"article","venue":"Soft Matter","topic":"Metal-Organic Frameworks: Synthesis and Applications","field":"Chemistry","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Fredericton; University of New Brunswick","funders":"Engineering and Physical Sciences Research Council; Royal Society; Medical Research Council; Natural Sciences and Engineering Research Council of Canada; New Brunswick Innovation Foundation; University of New Brunswick","keywords":"Vesicle; Zirconium; Metal; Chemistry; Nanotechnology; Membrane; Chemical engineering; Materials science; Inorganic chemistry; Organic chemistry; Engineering; Biochemistry","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":["insufficient_payload"],"category_scores_codex":[0.0001357513,0.0002989961,0.0003789882,0.00003545989,0.0001987891,0.0001710092,0.0003132506,0.0002868728,0.03139807],"category_scores_gemma":[0.0001109916,0.0002556671,0.0001360232,0.0003809391,0.0001284047,0.000123932,0.0001206028,0.0005474305,0.001235135],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005757787,"about_ca_system_score_gemma":0.000106216,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007421586,"about_ca_topic_score_gemma":0.000007248788,"domain_scores_codex":[0.9982409,0.00004057593,0.0003640245,0.000613847,0.0002975841,0.000443045],"domain_scores_gemma":[0.9981624,0.0003064764,0.0001498589,0.00112717,0.0001072722,0.0001468239],"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":[0.00000785456,0.0001253623,0.001527018,0.0001125896,0.000136366,0.00003007516,0.0001916063,0.000007547576,0.9933246,0.001164935,0.001870922,0.00150111],"study_design_scores_gemma":[0.0001499519,0.000006395316,0.0007575998,0.0002726375,0.0001435207,0.00006437444,0.0005141796,0.00003753558,0.9718857,0.002937723,0.0228516,0.0003787385],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9349712,0.002510988,0.04119597,0.007688643,0.0002016251,0.0001661484,0.00003789819,0.0002515794,0.01297593],"genre_scores_gemma":[0.9811779,0.00007164178,0.01154875,0.00213427,0.000358016,0.00004628548,0.00003693016,0.0001286209,0.004497567],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04620669,"threshold_uncertainty_score":0.9999896,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009441165057278777,"score_gpt":0.2210612418181662,"score_spread":0.2116200767608875,"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."}}