{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002450071,0.0002349583,0.0002267777,0.0002464449,0.0001635102,0.0003600204,0.0001521757,0.0001282755,0.0006276315],"category_scores_gemma":[0.000471426,0.0001268155,0.0002062413,0.0002652849,0.0002468704,0.0002577185,0.0001793764,0.0003484411,0.0001215085],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003687183,"about_ca_system_score_gemma":0.0001554105,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001664784,"about_ca_topic_score_gemma":0.001132763,"domain_scores_codex":[0.9998487,0.0000217268,0.00001193531,0.00003027662,0.0000549277,0.00003244238],"domain_scores_gemma":[0.99975,0.000108994,0.00006710299,0.000009244282,0.00003771143,0.00002704935],"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":[0.0001946373,0.00001373225,0.001084247,0.00002228983,0.000005633145,0.00002807294,0.00005386847,0.0001859837,0.9972011,0.00002916041,0.0000165296,0.001164813],"study_design_scores_gemma":[0.00001332677,0.0004992482,0.01155016,0.000003678947,0.00001429371,0.00002057111,0.00006880764,0.003687216,0.9838529,0.00002670132,0.0002527843,0.0000103196],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979544,0.0001751661,0.001258789,0.00001452402,0.000006841634,0.00001370213,0.0001378347,0.00002935673,0.0004093075],"genre_scores_gemma":[0.998525,0.0001102394,0.0008377042,0.00001712907,0.000003806633,0.00001453134,0.0001306178,0.00001062755,0.0003504831],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001664784,"threshold_uncertainty_score":0.003310144,"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."}}