{"id":"W1972543539","doi":"10.1529/biophysj.106.092023","title":"Pore Formation in a Lipid Bilayer under a Tension Ramp: Modeling the Distribution of Rupture Tensions","year":2007,"lang":"en","type":"article","venue":"Biophysical Journal","topic":"Lipid Membrane Structure and Behavior","field":"Biochemistry, Genetics and Molecular Biology","cited_by":33,"is_retracted":false,"has_abstract":false,"ca_institutions":"Cégep de l'Outaouais; McGill University; Simon Fraser University; University of Ottawa","funders":"Luonnontieteiden ja Tekniikan Tutkimuksen Toimikunta","keywords":"Nucleation; Bilayer; Breakage; Lipid bilayer; Surface tension; Kinetics; Vesicle; Membrane; Tension (geology); Lipid bilayer mechanics; Chemistry; Chemical physics; Materials science; Biophysics; Thermodynamics; Lipid bilayer phase behavior; Composite material; Physics; Classical mechanics; Biology","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":[0.0004350554,0.0003094029,0.0005543745,0.0004384078,0.0004911,0.0008709203,0.001065781,0.002321974,0.001261585],"category_scores_gemma":[0.001490637,0.0004305296,0.0004907945,0.000414204,0.001001371,0.001453977,0.0005437012,0.0008136193,0.0001501823],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009225374,"about_ca_system_score_gemma":0.0007933268,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005334575,"about_ca_topic_score_gemma":0.002351203,"domain_scores_codex":[0.9999022,0.00001832143,0.000005080581,0.00002218835,0.00001547624,0.00003656808],"domain_scores_gemma":[0.9993823,0.0003070023,0.00008306671,0.00005425846,0.00005743841,0.0001160426],"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":[0.0001626971,0.0001196955,0.001526953,0.00004174041,0.00001581651,0.0003344672,0.00007984693,0.9788558,0.01209762,0.005314829,0.0001736207,0.001277006],"study_design_scores_gemma":[0.00001320964,0.00001184482,0.0001807595,0.000001592464,0.000004682958,0.00001206425,0.00001071973,0.9985325,0.0006750633,0.0005176098,0.00003516559,0.00000465849],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9854753,0.0001281187,0.01103774,0.0003728374,0.0000207439,0.00002066259,0.0001095389,0.00008005326,0.002755002],"genre_scores_gemma":[0.9978447,0.00007943039,0.001515608,0.00002259321,0.000007719827,0.00001495006,0.00003481326,0.00001649456,0.0004637225],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005334575,"threshold_uncertainty_score":0.01060706,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01742719537665084,"score_gpt":0.2689445026447528,"score_spread":0.251517307268102,"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."}}