{"id":"W2404164641","doi":"10.1007/978-1-4939-1752-5_21","title":"Computer Simulations of Phase Separation in Lipid Bilayers and Monolayers","year":2014,"lang":"en","type":"article","venue":"Methods in molecular biology","topic":"Lipid Membrane Structure and Behavior","field":"Biochemistry, Genetics and Molecular Biology","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Monolayer; Lipid bilayer; Phase (matter); Separation (statistics); Materials science; Chemical physics; Chemistry; Nanotechnology; Computer science; Membrane; Organic chemistry; Biochemistry","routes":{"ca_aff":true,"ca_fund":false,"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":[0.000469034,0.0004860374,0.001053914,0.0007033555,0.00130981,0.0009715072,0.001426922,0.001814185,0.004159322],"category_scores_gemma":[0.002988438,0.0006754381,0.000718699,0.0009346459,0.001324834,0.0009712277,0.0007805709,0.001547947,0.0002572876],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001557973,"about_ca_system_score_gemma":0.001416762,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01564193,"about_ca_topic_score_gemma":0.00824586,"domain_scores_codex":[0.9997241,0.00008394868,0.00001140266,0.00003204718,0.00007420947,0.00007425209],"domain_scores_gemma":[0.9984493,0.001108813,0.00007714696,0.00008238875,0.0001535544,0.0001287958],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001191337,0.00007616069,0.0005749043,0.00004267757,0.00002373908,0.00005201917,0.00006907409,0.9879323,0.0009507806,0.008421844,0.0004603295,0.001277087],"study_design_scores_gemma":[0.00004713274,0.00001681402,0.0001246381,0.000004222835,0.000004122327,0.000004304366,0.00001862651,0.9978033,0.0003170703,0.001468457,0.0001867401,0.000004593554],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9507145,0.0004810486,0.02541896,0.001170383,0.0001432108,0.00008329331,0.0006287084,0.0003036465,0.02105607],"genre_scores_gemma":[0.9842235,0.0001885584,0.01253502,0.000169247,0.00003638207,0.0001836747,0.000455591,0.00009270822,0.002115266],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01564193,"threshold_uncertainty_score":0.03110176,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01749165457364451,"score_gpt":0.4038464931987737,"score_spread":0.3863548386251292,"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."}}