{"id":"W2005395355","doi":"10.1016/j.ces.2012.09.021","title":"Modelling supersonic quenching of magnesium vapour in a Laval nozzle","year":2012,"lang":"en","type":"article","venue":"Chemical Engineering Science","topic":"nanoparticles nucleation surface interactions","field":"Earth and Planetary Sciences","cited_by":15,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Commonwealth Scientific and Industrial Research Organisation","keywords":"Nozzle; Supersonic speed; Magnesium; Quenching (fluorescence); Materials science; Mechanics; Chemistry; Thermodynamics; Metallurgy; Physics; Optics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0003356385,0.0006607144,0.0009972426,0.0004268485,0.001202906,0.001469225,0.001600705,0.003309771,0.004490793],"category_scores_gemma":[0.001200023,0.0005485401,0.0009308077,0.0003607324,0.00138774,0.0008408485,0.0008724839,0.001207525,0.0003418631],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004966499,"about_ca_system_score_gemma":0.00230848,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1199249,"about_ca_topic_score_gemma":0.0377005,"domain_scores_codex":[0.9998192,0.00002434921,0.000005954671,0.00003402251,0.00003790664,0.00007854161],"domain_scores_gemma":[0.999365,0.0003728592,0.00006003745,0.00002800566,0.00007405714,0.00009996355],"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":[0.0001665274,0.00009845442,0.001917994,0.00004311936,0.00002330422,0.0002740265,0.0000687893,0.9870554,0.007410399,0.001921128,0.0002646517,0.0007561028],"study_design_scores_gemma":[0.00005252605,0.00005209706,0.000831998,0.000003301726,0.000007540843,0.00001181457,0.00003201836,0.9975683,0.001094963,0.0001553211,0.0001801477,0.000009902907],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9724243,0.0002639685,0.00491873,0.0005962548,0.00006207148,0.00007520921,0.0003253178,0.000252787,0.02108147],"genre_scores_gemma":[0.9963679,0.00006177084,0.0006163841,0.00004014227,0.000009190352,0.00001880763,0.00008260935,0.00003838169,0.002764785],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1199249,"threshold_uncertainty_score":0.2384539,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01414513389935175,"score_gpt":0.2110030088406974,"score_spread":0.1968578749413456,"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."}}