{"id":"W2972475483","doi":"10.1002/adfm.201905474","title":"Thermal Properties of Lipid Bilayers Determined Using Upconversion Nanothermometry","year":2019,"lang":"en","type":"article","venue":"Advanced Functional Materials","topic":"Optical properties and cooling technologies in crystalline materials","field":"Physics and Astronomy","cited_by":127,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"European Regional Development Fund; Natural Sciences and Engineering Research Council of Canada; Federación Española de Enfermedades Raras; Concordia University","keywords":"Materials science; Bilayer; Lipid bilayer; Nanomaterials; Thermal conductivity; Membrane; Model lipid bilayer; Nanoparticle; Nanotechnology; Chemical engineering; Lipid bilayer phase behavior; Composite material; 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001417593,0.0001747869,0.0003228795,0.00006754915,0.0000620941,0.00003235907,0.0001727899,0.0000647407,0.004258894],"category_scores_gemma":[0.00001893092,0.0001297141,0.00007327445,0.00009700262,0.00009123104,0.0002037878,0.0001549526,0.00005138683,0.00007028095],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002599893,"about_ca_system_score_gemma":0.00003522426,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003046461,"about_ca_topic_score_gemma":3.20152e-8,"domain_scores_codex":[0.9989511,0.00003817093,0.0003747525,0.0002425293,0.0001663402,0.000227073],"domain_scores_gemma":[0.9993821,0.00002981739,0.0001935089,0.0002751552,0.00009175456,0.000027649],"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":[0.0003733067,0.00004380015,0.0006465093,0.0000708709,0.0000406765,1.885978e-7,0.00001481964,0.002244081,0.9943284,0.00118862,0.000008186752,0.001040564],"study_design_scores_gemma":[0.0005261633,0.0001082572,0.0001705594,0.0001054795,0.00001564711,6.569044e-7,0.0001832615,0.0002383098,0.9975908,0.0005936857,0.0002863887,0.0001807789],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968935,0.0000342798,0.0007476409,0.00003602519,0.001415173,0.000272725,0.00003620999,0.00006937033,0.0004951272],"genre_scores_gemma":[0.9977422,0.000002811714,0.001661635,0.00003145813,0.0002212059,0.00001704941,0.00001141478,0.0000274844,0.0002846883],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004188613,"threshold_uncertainty_score":0.9966514,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02074091512014347,"score_gpt":0.219526646889063,"score_spread":0.1987857317689195,"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."}}