{"id":"W2599057924","doi":"10.1039/c7cp01400g","title":"How does ytterbium chloride interact with DMPC bilayers? A computational and experimental study","year":2017,"lang":"en","type":"article","venue":"Physical Chemistry Chemical Physics","topic":"Lipid Membrane Structure and Behavior","field":"Biochemistry, Genetics and Molecular Biology","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Engineering and Physical Sciences Research Council; Imperial College London","keywords":"Ytterbium; Lanthanide; Lipid bilayer; Chemistry; Nuclear magnetic resonance; Chloride; Membrane; Ion; Condensed matter physics; Physics; 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":[0.0004435602,0.0005979591,0.0007985355,0.0006324213,0.0009712342,0.001083052,0.001607724,0.001619973,0.00430104],"category_scores_gemma":[0.001530648,0.0005598814,0.0006619876,0.0007269921,0.0008987157,0.001677246,0.0006216842,0.000639975,0.0002821459],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001439314,"about_ca_system_score_gemma":0.001162818,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0311289,"about_ca_topic_score_gemma":0.0157976,"domain_scores_codex":[0.9998678,0.00003126369,0.00000606862,0.00002606704,0.00001959255,0.00004922715],"domain_scores_gemma":[0.9992633,0.0004879583,0.00007663034,0.00004241724,0.00008500807,0.00004457506],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004452233,0.0002866089,0.01338293,0.0003253024,0.0001233028,0.0004011175,0.0001536436,0.9627851,0.008274206,0.008684212,0.0008499367,0.004288463],"study_design_scores_gemma":[0.0000977869,0.00005769328,0.00147288,0.000009538052,0.00002957498,0.00002517031,0.00008066007,0.993834,0.002847788,0.001269632,0.0002627644,0.00001244662],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9932695,0.0002536366,0.001342708,0.0004867166,0.000009067478,0.00001332749,0.0002824625,0.00003834006,0.004304158],"genre_scores_gemma":[0.997798,0.0002252869,0.001077621,0.00006342751,0.000008271808,0.00001870504,0.0002148641,0.00001645199,0.0005773666],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0311289,"threshold_uncertainty_score":0.06189543,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009591153427172176,"score_gpt":0.2692642617406872,"score_spread":0.2596731083135151,"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."}}