{"id":"W4240113291","doi":"10.26434/chemrxiv.10049846","title":"Effect of Droplet Size and Counterions on the Spatial Distribution of Ions","year":2019,"lang":"en","type":"preprint","venue":"ChemRxiv","topic":"Electrohydrodynamics and Fluid Dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Ion; Counterion; Scaling; Chemical physics; Electric field; Molecular dynamics; Aqueous solution; Surface charge; Range (aeronautics); Charge (physics); Charge density; Nanoscopic scale; Chemistry; Materials science; Physics; Nanotechnology; Computational chemistry; Physical chemistry; Geometry","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001933397,0.0001778282,0.0003052393,0.00002326296,0.00002166405,0.0000123158,0.0001526954,0.0001746398,0.00001029701],"category_scores_gemma":[0.0000800292,0.0001334471,0.0001013957,0.00005756854,0.0000664039,0.0000101038,0.0001057808,0.0003441193,0.000002369774],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005854823,"about_ca_system_score_gemma":0.00001857539,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004072418,"about_ca_topic_score_gemma":0.00001320126,"domain_scores_codex":[0.9993813,0.00002666291,0.0002031073,0.000147082,0.0001117466,0.0001301084],"domain_scores_gemma":[0.9991208,0.0003632482,0.0000714765,0.000387541,0.00003277191,0.00002413711],"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":[0.0002459581,0.0001899913,0.005395987,0.007877795,0.001044915,0.000005497357,0.0005138558,0.2118889,0.7488139,0.01903282,0.001495683,0.003494723],"study_design_scores_gemma":[0.0003101767,0.0002373816,0.00674706,0.000337066,0.0001190372,0.000002149769,0.000003338109,0.9526969,0.03885628,0.0003443864,0.0001124619,0.0002337244],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9933818,0.0001448184,0.005123308,0.00005440209,0.0002913121,0.000307243,0.0001605672,0.00003483423,0.0005017278],"genre_scores_gemma":[0.9994115,0.0002843405,0.00000995309,0.000004178474,0.00003606197,0.00002198988,0.0001842686,0.00002467708,0.00002305414],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.740808,"threshold_uncertainty_score":0.5441814,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003037702997957013,"score_gpt":0.1951863218157646,"score_spread":0.1921486188178075,"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."}}