{"id":"W4380882382","doi":"10.26434/chemrxiv-2023-drq7n","title":"The characteristic curvature (Cc) of ionic surfactants assessed via Small-Angle X-ray Scattering (SAXS)","year":2023,"lang":"en","type":"preprint","venue":"ChemRxiv","topic":"Surfactants and Colloidal Systems","field":"Chemistry","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Division of Materials Research; Natural Sciences and Engineering Research Council of Canada; Hospital for Sick Children; European Commission; National Science Foundation","keywords":"Small-angle X-ray scattering; Pulmonary surfactant; Microemulsion; Dimensionless quantity; Curvature; Scattering; Micelle; Phase (matter); Phase inversion; Ionic bonding; Chemistry; Analytical Chemistry (journal); Materials science; Chromatography; Thermodynamics; Physics; Aqueous solution; Organic chemistry; Optics; Ion; Geometry; Mathematics; 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":[0.0007254294,0.0006176335,0.0002714611,0.0007654834,0.0002237747,0.0005219332,0.0001931073,0.0002908613,0.0007479955],"category_scores_gemma":[0.001355936,0.0001902266,0.0002628952,0.0005353931,0.0004921544,0.0004424746,0.0004019348,0.0005614552,0.0002651365],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003496607,"about_ca_system_score_gemma":0.0003234584,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006257804,"about_ca_topic_score_gemma":0.0006898193,"domain_scores_codex":[0.999494,0.00007349135,0.00006198504,0.00008694849,0.0002354995,0.00004801701],"domain_scores_gemma":[0.9986082,0.0002815276,0.0004366027,0.00008925439,0.0004911054,0.0000933495],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00005535308,0.000006636295,0.002114576,0.00004755085,0.0000106184,0.00002592702,0.00007101677,0.0001540373,0.9957117,0.0001457909,0.00004575905,0.001611043],"study_design_scores_gemma":[0.00000308927,0.0001235936,0.01489076,0.000008019301,0.00001773637,0.0001203336,0.00009257015,0.002608827,0.9808926,0.00009039111,0.001131939,0.00002016506],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9834816,0.0005487815,0.01374958,0.0000487187,0.00001351809,0.00005972642,0.0005125986,0.000179389,0.001406215],"genre_scores_gemma":[0.989262,0.0004168651,0.008858,0.00003114371,0.000004042114,0.00006453686,0.0005904987,0.00004551817,0.0007275195],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007654834,"threshold_uncertainty_score":0.003836513,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03707868211994974,"score_gpt":0.2547877687345843,"score_spread":0.2177090866146346,"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."}}