{"id":"W2145433486","doi":"10.1115/fedsm2006-98459","title":"Representing Polydispersed Droplet Behavior in Nucleating Steam Flow With the Quadrature-Method-of-Moments","year":2006,"lang":"en","type":"article","venue":"","topic":"nanoparticles nucleation surface interactions","field":"Earth and Planetary Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Quadrature (astronomy); Mechanics; Nucleation; Supersonic speed; Steam turbine; Statistical physics; Materials science; Physics; Thermodynamics","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":[0.0007153766,0.0003869182,0.0003115824,0.0002716242,0.0001866734,0.0004753302,0.0005815773,0.0005489565,0.0003731659],"category_scores_gemma":[0.001570296,0.0001459406,0.000360482,0.0002653613,0.0004602092,0.0006981498,0.000377923,0.0003232965,0.00009309558],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003261931,"about_ca_system_score_gemma":0.0003186368,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001510086,"about_ca_topic_score_gemma":0.001086728,"domain_scores_codex":[0.9998823,0.00004834183,0.000005818935,0.00001230847,0.00003762001,0.00001353413],"domain_scores_gemma":[0.9996107,0.000268173,0.00004649166,0.00002486586,0.00003669126,0.00001304396],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006887643,0.00004027524,0.001196919,0.00006137212,0.00001552222,0.0001368728,0.0001002351,0.918135,0.01778716,0.03866163,0.0002027463,0.02359349],"study_design_scores_gemma":[0.000002172727,0.000006684731,0.00005078388,9.144891e-7,9.057911e-7,0.000008799753,0.000002705754,0.9974801,0.0006683088,0.001672815,0.0001038592,0.000001975381],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0366628,0.0001487479,0.9622489,0.00004146109,0.00001671168,0.00001829439,0.00001379843,0.00008264835,0.0007666812],"genre_scores_gemma":[0.798144,0.0003594024,0.1999102,0.0000479853,0.000033955,0.00005587779,0.00004458714,0.00008179398,0.001322091],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001510086,"threshold_uncertainty_score":0.003783286,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009834389885951408,"score_gpt":0.2485242527922602,"score_spread":0.2386898629063088,"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."}}