{"id":"W2066477610","doi":"10.1016/j.ijmultiphaseflow.2014.01.009","title":"Identification of flow regime in vertical upward air–water pipe flow using differential pressure signals and elastic maps","year":2014,"lang":"en","type":"article","venue":"International Journal of Multiphase Flow","topic":"Water Systems and Optimization","field":"Engineering","cited_by":105,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Calibration; Mechanics; Flow (mathematics); Range (aeronautics); Differential pressure; Materials science; Static pressure; Physics; Composite material","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001329006,0.0002807431,0.0001637146,0.0004839102,0.0001806212,0.0002561129,0.0001639259,0.0002680503,0.0003272038],"category_scores_gemma":[0.0003763644,0.0001649666,0.0001680517,0.0002226476,0.0002429923,0.0003856914,0.0003254929,0.0002109862,0.00005601532],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009275469,"about_ca_system_score_gemma":0.0001824341,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001177723,"about_ca_topic_score_gemma":0.001124301,"domain_scores_codex":[0.9999484,0.000009573925,0.000002751884,0.00001592766,0.00001133637,0.0000120823],"domain_scores_gemma":[0.9998991,0.00004463618,0.00001918638,0.000006181652,0.00001890083,0.0000118312],"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":[0.001205661,0.0004177931,0.04748616,0.000182864,0.00005438213,0.0006165594,0.0003347273,0.3119269,0.3968859,0.004524421,0.0004255735,0.2359389],"study_design_scores_gemma":[0.000008341322,0.00006159776,0.01697033,0.000003516762,0.000006612595,0.00004359995,0.00003680971,0.9716917,0.01057667,0.0004659258,0.0001249989,0.000009833879],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8792961,0.00005103127,0.1193441,0.00004285616,0.000009873832,0.00001898657,0.00004043413,0.00009142734,0.001105177],"genre_scores_gemma":[0.9944811,0.0000183527,0.005234061,0.000003002814,0.000003413718,0.000004926919,0.00001746871,0.000002766792,0.0002349651],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001177723,"threshold_uncertainty_score":0.002341747,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008966690733875194,"score_gpt":0.2273795057407721,"score_spread":0.2184128150068969,"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."}}