{"id":"W2607916946","doi":"10.1103/physreve.95.043111","title":"Highly pressurized partially miscible liquid-liquid flow in a micro-T-junction. II. Theoretical justifications and modeling","year":2017,"lang":"en","type":"article","venue":"Physical review. E","topic":"Innovative Microfluidic and Catalytic Techniques Innovation","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"China Scholarship Council","keywords":"Drop (telecommunication); Dissolution; Materials science; Molecule; Diffusion; Liquid drop; Pressure drop; Saturation (graph theory); Thermodynamics; Analytical Chemistry (journal); Physics; Physical chemistry; Chemistry; Chromatography; Organic chemistry; Electrical engineering; Composite material","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":[0.0003776575,0.0001912354,0.0003455103,0.00006078843,0.0002317575,0.00005354172,0.0002619181,0.00006016972,0.00002646417],"category_scores_gemma":[0.0002337094,0.0001735267,0.00006146868,0.00018712,0.0002006809,0.0002458095,0.0001271493,0.0002653419,0.00002076747],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004870667,"about_ca_system_score_gemma":0.00002800665,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009680311,"about_ca_topic_score_gemma":8.168549e-7,"domain_scores_codex":[0.9989322,0.00002760815,0.0003816467,0.0002722774,0.0001413398,0.0002448685],"domain_scores_gemma":[0.999156,0.00003076992,0.00006844373,0.0005514827,0.0001432027,0.00005010437],"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":[0.00007841882,0.000141762,0.0000111074,0.0007100765,0.00004000157,0.000003317876,0.0002187684,0.0004307708,0.766625,0.2227201,0.003666138,0.005354431],"study_design_scores_gemma":[0.001063656,0.000342695,0.0001577655,0.002721797,0.0002235713,0.000013166,0.00001929077,0.340885,0.5978789,0.02110953,0.03460411,0.0009804907],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7604286,0.007129341,0.2208534,0.002769877,0.0002613923,0.0009094586,0.00002712466,0.0003901114,0.007230648],"genre_scores_gemma":[0.9958985,0.002276286,0.001240099,0.0001763738,0.0001500504,0.0001487983,0.00003478771,0.00003010377,0.00004492826],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3404543,"threshold_uncertainty_score":0.7076212,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02412948021996469,"score_gpt":0.3086415164988893,"score_spread":0.2845120362789246,"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."}}