{"id":"W2800707166","doi":"10.1139/tcsme-2017-1018","title":"INFLUENCE OF EXTERNAL PARTICLES ON HETEROGENEOUS CONDENSATION FLOW IN CASCADES","year":2017,"lang":"en","type":"article","venue":"Transactions of the Canadian Society for Mechanical Engineering","topic":"nanoparticles nucleation surface interactions","field":"Earth and Planetary Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Condensation; Nucleation; Turbulence; Thermodynamics; Materials science; Flow (mathematics); Mechanics; Particle (ecology); Cascade; Chemistry; Physics; Geology","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":[0.0001837066,0.0003636915,0.0003274844,0.000330091,0.0004551017,0.0005425171,0.0002029264,0.0002091813,0.001033789],"category_scores_gemma":[0.0006765607,0.0001895276,0.0003056483,0.0001256429,0.0005186447,0.0003814692,0.0004533028,0.000243017,0.000113975],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007011837,"about_ca_system_score_gemma":0.000356933,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006404215,"about_ca_topic_score_gemma":0.003633956,"domain_scores_codex":[0.9998753,0.00001828673,0.000006303358,0.00002959408,0.00003290547,0.00003763037],"domain_scores_gemma":[0.9997584,0.00011317,0.00003989496,0.00001244674,0.00003888296,0.000037174],"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":[0.0006487056,0.0001494846,0.008733044,0.0001819133,0.00005078183,0.001098691,0.0002023124,0.1324077,0.8414695,0.002928194,0.0002574773,0.01187234],"study_design_scores_gemma":[0.0001057095,0.0003441329,0.01301203,0.00002154086,0.00006977683,0.0001290177,0.0001156899,0.4899786,0.4944975,0.0006126104,0.001071297,0.00004201711],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9919453,0.0002158432,0.00469497,0.00002705008,0.00001992932,0.00002770022,0.00004615516,0.00006457832,0.002958523],"genre_scores_gemma":[0.9991677,0.00009179086,0.000447213,0.0000043342,0.000003829977,0.00000497514,0.00002067138,0.000008522969,0.0002510498],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006404215,"threshold_uncertainty_score":0.01273388,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01629159617919187,"score_gpt":0.2227655136981168,"score_spread":0.2064739175189249,"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."}}