{"id":"W2489840895","doi":"10.1016/j.bpj.2015.11.3045","title":"Calculating Transmembrane Diffusivity","year":2016,"lang":"en","type":"article","venue":"Biophysical Journal","topic":"Analytical Chemistry and Chromatography","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Thermal diffusivity; Lipid bilayer; Mass diffusivity; Molecular dynamics; Diffusion; Chemistry; Autocorrelation; Transmembrane protein; Laplace transform; Membrane; Function (biology); Thermodynamics; Statistical physics; Physics; Computational chemistry; Mathematics; Mathematical analysis; Statistics","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":[0.0003033572,0.0006328853,0.000452752,0.0005575074,0.0004735554,0.0006954137,0.0006574795,0.00091714,0.003865665],"category_scores_gemma":[0.001507757,0.0002881786,0.0004465013,0.0003473806,0.0002513808,0.001218464,0.0004492161,0.0007195172,0.001276726],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001118936,"about_ca_system_score_gemma":0.0008161884,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002876671,"about_ca_topic_score_gemma":0.002655132,"domain_scores_codex":[0.9998724,0.00001858482,0.000008007636,0.00003700378,0.00004195077,0.0000219914],"domain_scores_gemma":[0.9997501,0.00008338108,0.00002385655,0.00003828281,0.00007974852,0.00002474262],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002670057,0.000109536,0.003984359,0.0005868675,0.0001445223,0.001492991,0.0003356209,0.2301765,0.3822422,0.2005504,0.01000814,0.1701017],"study_design_scores_gemma":[0.00001740639,0.00003048894,0.0006938454,0.00003810544,0.00003148087,0.0004137669,0.00004203014,0.8916548,0.08393098,0.01212135,0.01100058,0.00002522055],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1308674,0.001447475,0.83248,0.0006388487,0.0003736852,0.0001274988,0.0005820707,0.002280136,0.03120293],"genre_scores_gemma":[0.7408099,0.001158214,0.2322528,0.0002215238,0.0000862114,0.0001385745,0.0005576229,0.0008579675,0.02391723],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003865665,"threshold_uncertainty_score":0.01293194,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01022440895774566,"score_gpt":0.2321490430691949,"score_spread":0.2219246341114492,"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."}}