{"id":"W3159035322","doi":"10.26434/chemrxiv.14454645.v1","title":"Vesicle Viewer: Online Analysis of Small Angle Scattering from Lipid Vesicles","year":2021,"lang":"en","type":"preprint","venue":"ChemRxiv","topic":"Lipid Membrane Structure and Behavior","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"Natural Sciences and Engineering Research Council of Canada; National Science Foundation","keywords":"Python (programming language); Vesicle; Computer science; Lipid vesicle; The Internet; Small-angle scattering; Lipid bilayer; Scattering; World Wide Web; Nanotechnology; Chemistry; Materials science; Physics; Optics; Programming language; Membrane","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":[0.001955696,0.001494802,0.001243712,0.001910005,0.0005575484,0.00158561,0.001857545,0.0008449245,0.01822132],"category_scores_gemma":[0.001653891,0.0006844087,0.001271008,0.0008074309,0.0002453863,0.001304464,0.001955561,0.001714137,0.00987142],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004365971,"about_ca_system_score_gemma":0.001109554,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001110796,"about_ca_topic_score_gemma":0.001109836,"domain_scores_codex":[0.9992959,0.0001027538,0.00005782366,0.0001345787,0.0003144704,0.00009447095],"domain_scores_gemma":[0.999498,0.0001768584,0.00004296008,0.0001058227,0.0001092566,0.00006708103],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002052672,0.0006576011,0.008224311,0.00272222,0.001228843,0.00158548,0.001091433,0.01248029,0.4230311,0.02817349,0.3306636,0.188089],"study_design_scores_gemma":[0.0005490796,0.0002540663,0.01169595,0.0002895803,0.0002244001,0.00152052,0.0002544569,0.2353209,0.3597108,0.01710875,0.3726602,0.0004113369],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.05675119,0.001551099,0.5630339,0.0006308209,0.0007257776,0.0005414636,0.06096983,0.3068531,0.008942712],"genre_scores_gemma":[0.1493693,0.002498291,0.5880958,0.0006898635,0.0002584865,0.001762608,0.1341229,0.1078084,0.01539436],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.01822132,"threshold_uncertainty_score":0.06095636,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02012002455958717,"score_gpt":0.2596955794942597,"score_spread":0.2395755549346725,"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."}}