{"id":"W2127632319","doi":"10.1002/aic.10862","title":"Drop sizes during turbulent mixing of toluene–heavy oil fractions in water","year":2006,"lang":"en","type":"article","venue":"AIChE Journal","topic":"Fluid Dynamics and Mixing","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"China Electronics Technology Group Corporation","keywords":"Breakage; Coalescence (physics); Drop (telecommunication); Turbulence; Breakup; Chemistry; Mixing (physics); Volume fraction; Oil droplet; Volume (thermodynamics); Chromatography; Materials science; Emulsion; Mechanics; Thermodynamics; Composite material; Physics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001578284,0.0001021675,0.0001492366,0.0001628403,0.00007413678,0.00003798799,0.00008550626,0.00005882962,0.00007033427],"category_scores_gemma":[0.000007627787,0.00008571603,0.00007047645,0.00008672194,0.00001206902,0.0001637121,0.00001861927,0.0003263482,0.0000105562],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001177407,"about_ca_system_score_gemma":0.0000103038,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001105595,"about_ca_topic_score_gemma":0.000100813,"domain_scores_codex":[0.9991621,0.00001445756,0.0003463465,0.00007218148,0.0001309803,0.0002739006],"domain_scores_gemma":[0.9997782,0.00002007345,0.0000318102,0.00009277685,0.00003284294,0.00004428997],"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":[0.00001109087,0.00004946598,0.003367123,0.00007415764,0.00003375312,0.00008676085,0.0004113528,0.3340849,0.6606296,0.00007735981,0.0003657382,0.000808669],"study_design_scores_gemma":[0.003175097,0.0000737535,0.08155954,0.0008329337,0.00008649856,0.001647512,0.0004601375,0.3070667,0.5937586,0.001849783,0.00850035,0.0009891071],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959999,0.0005896377,0.0009263605,0.00014117,0.000294754,0.00001612273,8.441746e-7,0.00003475365,0.001996445],"genre_scores_gemma":[0.9982196,0.0002020831,0.0008784317,0.00001065352,0.0002123737,0.000001952484,0.000001742477,0.00002507545,0.0004480872],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07819241,"threshold_uncertainty_score":0.3495398,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00397212799015894,"score_gpt":0.1883760327002094,"score_spread":0.1844039047100505,"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."}}