{"id":"W7033185916","doi":"","title":"OPTIMIZATION OF CONVERGENT-DIVERGENT LAVAL NOZZLE TO&#13;\\nPRODUCE NANO PARTICLES","year":2014,"lang":"en","type":"dissertation","venue":"","topic":"Nutrition, Health, and Society Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Nozzle; Nucleation; Condensation; Drop (telecommunication); Heat transfer; Pressure drop; Work (physics)","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":[0.0007428525,0.0005520175,0.0006461416,0.0003964569,0.0004180227,0.001192598,0.000870061,0.0006842153,0.001657363],"category_scores_gemma":[0.001012044,0.000357406,0.0006416622,0.0003174174,0.0003243029,0.0004780974,0.000539965,0.0004252199,0.0004035633],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001140317,"about_ca_system_score_gemma":0.001204471,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00251006,"about_ca_topic_score_gemma":0.002783102,"domain_scores_codex":[0.9997329,0.00002395006,0.00001483376,0.00005809913,0.0001115707,0.00005871153],"domain_scores_gemma":[0.9996526,0.00008870968,0.00008293972,0.00003137732,0.0001026774,0.00004158049],"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":[0.0003535898,0.0003038681,0.003020813,0.0005419758,0.00004059891,0.0003310098,0.0001096321,0.7276483,0.2191253,0.008177186,0.000955668,0.03939196],"study_design_scores_gemma":[0.000071202,0.0004249842,0.001168006,0.00002346757,0.0000214637,0.00006456922,0.00005070402,0.926021,0.0687849,0.0007227746,0.002613457,0.00003349957],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5598758,0.002025515,0.4148408,0.0002500094,0.0002074332,0.0004045995,0.0003077533,0.0008126834,0.02127531],"genre_scores_gemma":[0.8630432,0.0005536441,0.1332453,0.00003760409,0.00001351287,0.0002404607,0.0001770907,0.0001312206,0.002558111],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00251006,"threshold_uncertainty_score":0.008273602,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01789684948619165,"score_gpt":0.2437114786311419,"score_spread":0.2258146291449502,"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."}}