{"id":"W2990612052","doi":"10.1002/cjce.23685","title":"Local analysis of Marangoni effects during and after droplet formation","year":2019,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Electrohydrodynamics and Fluid Dynamics","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Deutsche Forschungsgemeinschaft","keywords":"Marangoni effect; Mass transfer; Chemistry; Aqueous solution; Capillary action; Analytical Chemistry (journal); Chromatography; Thermodynamics; Convection; Physical chemistry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001833937,0.0001788531,0.0002362504,0.0003344463,0.0002033899,0.0004404532,0.0001489573,0.0001443764,0.001424375],"category_scores_gemma":[0.0004741412,0.00009140723,0.0001344435,0.0002131376,0.0003107396,0.0003202619,0.0002004283,0.0003912965,0.0002275783],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002303575,"about_ca_system_score_gemma":0.0001195053,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007800288,"about_ca_topic_score_gemma":0.0005376649,"domain_scores_codex":[0.9999006,0.000009713198,0.000002931886,0.00002025745,0.0000383552,0.00002804537],"domain_scores_gemma":[0.9996135,0.0001524867,0.00007104128,0.0000208899,0.00007037277,0.00007172168],"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":[0.0001682296,0.00001815182,0.0009279994,0.00003050216,0.000005710144,0.00009230377,0.00009562988,0.0002357572,0.9961268,0.0001279451,0.00002525241,0.002145715],"study_design_scores_gemma":[0.00001277676,0.000296049,0.02116367,0.000004302514,0.00001783896,0.00007801297,0.0001149054,0.009376765,0.9681626,0.00008548894,0.0006694486,0.00001801486],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9936376,0.0004047753,0.005005432,0.00001656318,0.00001076892,0.00002100062,0.0001047301,0.00006102766,0.0007379852],"genre_scores_gemma":[0.9984809,0.0001281342,0.0008239603,0.000007084891,0.000004120349,0.00001528219,0.00007743318,0.00001714701,0.0004459521],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001424375,"threshold_uncertainty_score":0.004764974,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0008772100784790378,"score_gpt":0.1348952792747072,"score_spread":0.1340180691962282,"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."}}