{"id":"W2245419883","doi":"10.1103/physreve.91.022713","title":"Line tension of multicomponent bilayer membranes","year":2015,"lang":"en","type":"article","venue":"Physical Review E","topic":"Structural Analysis and Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Component (thermodynamics); Membrane; Bilayer; Tension (geology); Materials science; Line (geometry); Chemistry; Composite material; Physics; Thermodynamics; Mathematics; Geometry; Biochemistry; Compression (physics)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001235353,0.0002613727,0.0002102246,0.0006109774,0.0002037449,0.000352742,0.0002837489,0.0004131575,0.0008113551],"category_scores_gemma":[0.000404426,0.0001522075,0.0001789989,0.0002603368,0.0003183997,0.0006037402,0.0003098737,0.0004344114,0.0001052814],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000339543,"about_ca_system_score_gemma":0.0001154211,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004019494,"about_ca_topic_score_gemma":0.0002735769,"domain_scores_codex":[0.9999186,0.00001146179,0.000004162581,0.00001901474,0.00003005018,0.00001673953],"domain_scores_gemma":[0.9998618,0.00006843519,0.00003066513,0.000008632866,0.00001925947,0.00001117746],"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":[0.0001853449,0.00009436154,0.001277884,0.00009292721,0.000021904,0.0002965005,0.00008956091,0.06705174,0.9144205,0.008573762,0.0001344794,0.007761132],"study_design_scores_gemma":[0.00002866881,0.00009274248,0.002352527,0.00001430464,0.00000693725,0.000143082,0.00004834271,0.7334081,0.2581387,0.005203385,0.0005340414,0.00002918297],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.987393,0.0003026523,0.01045734,0.00006274741,0.00000647985,0.000007564508,0.00006042411,0.00004884519,0.001660941],"genre_scores_gemma":[0.9966713,0.0001903137,0.002509408,0.000009733673,0.000003401297,0.000010709,0.00008038963,0.000009439743,0.0005154008],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008113551,"threshold_uncertainty_score":0.002714276,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03458993840452465,"score_gpt":0.28261923282097,"score_spread":0.2480292944164454,"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."}}