{"id":"W4401574715","doi":"10.1175/jas-d-24-0018.1","title":"Direct Entrainment as a Measure of Dilution","year":2024,"lang":"en","type":"article","venue":"Journal of the Atmospheric Sciences","topic":"Atmospheric aerosols and clouds","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Entrainment (biomusicology); Measure (data warehouse); Dilution; Environmental science; Atmospheric sciences; Meteorology; Climatology; Geology; Thermodynamics; Physics; Computer science; Data mining","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0003415273,0.0004470371,0.0001899424,0.0005376276,0.0001236585,0.0003773419,0.0003298995,0.0001422876,0.0009662519],"category_scores_gemma":[0.001387675,0.0001505605,0.0002061324,0.0002574896,0.0002230056,0.0004660997,0.0006007376,0.0003665067,0.0002115878],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004177656,"about_ca_system_score_gemma":0.000126023,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001586135,"about_ca_topic_score_gemma":0.00127528,"domain_scores_codex":[0.9997572,0.00003245624,0.00001330597,0.00005178027,0.0001216437,0.00002347485],"domain_scores_gemma":[0.9994337,0.0002546485,0.00009692247,0.00008179901,0.00008715053,0.00004576115],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0007388601,0.0002405918,0.2160685,0.0001832139,0.0002689117,0.0003422174,0.0003839059,0.03842373,0.6902828,0.004132887,0.0004362783,0.04849815],"study_design_scores_gemma":[0.00004040972,0.0006776748,0.3371021,0.0000163942,0.00006722609,0.0005088837,0.0001245282,0.1964466,0.4593674,0.002145973,0.003432683,0.00006996077],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.977138,0.0004194432,0.01890738,0.00002087253,0.00002258532,0.00005400494,0.0003529096,0.00019743,0.002887237],"genre_scores_gemma":[0.9967654,0.00005882648,0.002213734,0.000004944093,0.000004160256,0.00001464988,0.0001413119,0.0000162757,0.0007806744],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001586135,"threshold_uncertainty_score":0.003232419,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008090253359260018,"score_gpt":0.232263917403378,"score_spread":0.2241736640441179,"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."}}