{"id":"W4390277520","doi":"10.11159/icffts23.171","title":"Investigating Airlift Pump Performance under Three-Phase Flow Conditions","year":2023,"lang":"en","type":"article","venue":"Proceedings of the International Conference on Fluid Flow and Thermal Science, ICFFTS ...","topic":"Hydraulic and Pneumatic Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada; Ontario Ministry of Agriculture, Food and Rural Affairs","keywords":"Airlift; Two-phase flow; Flow (mathematics); Phase (matter); Environmental science; Mechanics; Marine engineering; Computer science; Engineering; Physics; Chemistry","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0004959584,0.0001508867,0.0001469581,0.0001768689,0.0002756756,0.0001617148,0.0007049768,0.00004832208,0.0001368354],"category_scores_gemma":[0.00008107985,0.0001082969,0.00004445154,0.0005129409,0.0004224419,0.0004412393,0.0001310676,0.0001471585,0.00006177621],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004659353,"about_ca_system_score_gemma":0.00006722386,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001379414,"about_ca_topic_score_gemma":0.000003660308,"domain_scores_codex":[0.9986255,0.000003197988,0.0002737306,0.0002115611,0.000624673,0.0002613844],"domain_scores_gemma":[0.9994591,0.00003796083,0.00007469839,0.00009229344,0.0002300795,0.0001058681],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001691851,0.00006543806,0.008129046,0.0001955805,0.0001057159,8.21008e-7,0.002366551,0.03644317,0.8036951,0.1269057,0.001678341,0.02039755],"study_design_scores_gemma":[0.0002935549,0.0000437435,0.01469685,0.0002127037,0.000007117362,0.000007197392,0.0003123049,0.9635164,0.01821262,0.002405583,0.0001532668,0.0001387285],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9281787,0.00000804947,0.0000712664,0.000683911,0.0006451784,0.0001553491,0.00002312236,0.0001321419,0.07010227],"genre_scores_gemma":[0.9993348,0.00002665053,0.0001092285,0.000112821,0.0001017774,0.00002814617,0.000004160785,0.00001276422,0.0002696401],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9270732,"threshold_uncertainty_score":0.4416218,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0346095331304829,"score_gpt":0.265260680692223,"score_spread":0.2306511475617401,"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."}}