{"id":"W2802790161","doi":"10.1039/c8sm00705e","title":"Growth dynamics of surface nanodroplets during solvent exchange at varying flow rates","year":2018,"lang":"en","type":"article","venue":"Soft Matter","topic":"Innovative Microfluidic and Catalytic Techniques Innovation","field":"Engineering","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Hospital Edmonton; University of Alberta","funders":"Australian Research Council; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Ministerie van Onderwijs, Cultuur en Wetenschap; RMIT University; Max-Planck-Gesellschaft; University of Alberta","keywords":"Dynamics (music); Flow (mathematics); Solvent; Surface (topology); Chemical physics; Chemistry; Mechanics; Physics; Mathematics; Organic chemistry; Geometry","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":[0.000230638,0.0002262097,0.0002781879,0.000236585,0.0001830329,0.0002880918,0.000223779,0.0002440147,0.0007317847],"category_scores_gemma":[0.0005017031,0.0001120562,0.0001929959,0.000232312,0.0001974234,0.0004807817,0.0001687216,0.0004170952,0.0001699973],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002657733,"about_ca_system_score_gemma":0.000146949,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001035646,"about_ca_topic_score_gemma":0.001007858,"domain_scores_codex":[0.9998361,0.00001218716,0.00001005747,0.00003444713,0.00006282541,0.00004438065],"domain_scores_gemma":[0.9996923,0.000150544,0.00006717456,0.00001740391,0.00005125227,0.0000212598],"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":[0.00006817858,0.00001477472,0.0003901921,0.00001698435,0.000002923262,0.00005141326,0.0000638097,0.0003368859,0.9969699,0.00007088807,0.00002885569,0.001985105],"study_design_scores_gemma":[0.000003551798,0.00006605405,0.001427023,0.000001345506,0.000002623028,0.00002110816,0.00002313352,0.005246337,0.9929288,0.00002790859,0.0002473862,0.000004753043],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965857,0.0001669525,0.002490631,0.00002798112,0.000007877624,0.00001244571,0.0001478734,0.00006168785,0.0004988037],"genre_scores_gemma":[0.9955153,0.0002788088,0.003067286,0.00002045539,0.000006404231,0.00002952244,0.0001928225,0.00002797,0.000861445],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001035646,"threshold_uncertainty_score":0.002448082,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007798834104619572,"score_gpt":0.2175061853404381,"score_spread":0.2097073512358185,"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."}}