{"id":"W2964544192","doi":"10.11159/htff19.112","title":"Fast Energy Transport in Droplet Evaporation","year":2019,"lang":"en","type":"article","venue":"Proceedings of the World Congress on Mechanical, Chemical, and Material Engineering","topic":"Electrohydrodynamics and Fluid Dynamics","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Evaporation; Energy transport; Energy (signal processing); Environmental science; Computer science; Engineering physics; Physics; Meteorology","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":[0.0004270292,0.000410301,0.0008923903,0.0006722737,0.0008312723,0.001626097,0.0005758755,0.0007600355,0.004413127],"category_scores_gemma":[0.001430236,0.0003807369,0.0005332307,0.0003455336,0.0008552053,0.002575395,0.001414916,0.001030562,0.0005796827],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008857707,"about_ca_system_score_gemma":0.0003851341,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007527001,"about_ca_topic_score_gemma":0.000408119,"domain_scores_codex":[0.9997988,0.00003862832,0.00001077729,0.00003799646,0.00005869766,0.00005518733],"domain_scores_gemma":[0.9996458,0.0001766034,0.00002288767,0.0000333052,0.00007687037,0.00004456525],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001072568,0.0003221399,0.00149204,0.0005450502,0.0001240185,0.001474482,0.0004695601,0.08687232,0.2351996,0.6295273,0.007675134,0.03522586],"study_design_scores_gemma":[0.0001585526,0.0001725949,0.001720582,0.00003251363,0.0000314756,0.0002939658,0.000143365,0.8042209,0.04522943,0.1423564,0.005555758,0.00008455049],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7675384,0.01085376,0.1407463,0.004197911,0.003466488,0.0002934149,0.0003285166,0.0005311856,0.07204404],"genre_scores_gemma":[0.9708142,0.002048078,0.00539909,0.0001838288,0.0002716208,0.00006127765,0.0001196173,0.0001491417,0.02095314],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004413127,"threshold_uncertainty_score":0.01476336,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002208433120575834,"score_gpt":0.1604470104528974,"score_spread":0.1582385773323216,"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."}}