{"id":"W2140822028","doi":"10.1002/cjce.5450790115","title":"A new pressure drop model for flow‐through orifice plates","year":2001,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Flow Measurement and Analysis","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Body orifice; Flow coefficient; Pressure drop; Reynolds number; Mechanics; Volumetric flow rate; Flow (mathematics); Orifice plate; Materials science; Parametric statistics; Drop (telecommunication); Thermodynamics; Mathematics; Physics; Statistics; Engineering; Turbulence; Mechanical engineering","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.0001535132,0.0001427358,0.0002067627,0.00008119144,0.00004536035,0.00005803538,0.0002850375,0.00007943884,0.00004397218],"category_scores_gemma":[0.00008612253,0.0001146417,0.0001531164,0.0001789253,0.0000124735,0.00014716,0.00000414405,0.0002619223,0.000002683905],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009890206,"about_ca_system_score_gemma":0.0001629578,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002414957,"about_ca_topic_score_gemma":0.0002558312,"domain_scores_codex":[0.9992025,0.000002781592,0.0002574424,0.00006684547,0.0001499202,0.0003204677],"domain_scores_gemma":[0.9993994,0.00004305955,0.00003259764,0.0001255261,0.00007673258,0.0003227074],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000005717492,0.000001260076,0.00001226641,0.00002692582,0.0001602412,0.000006629968,0.0003099821,0.963969,0.0299298,0.0001124556,0.00478761,0.0006781387],"study_design_scores_gemma":[0.0002627774,0.000006820207,0.00000183337,0.00005950946,0.0001310518,0.00003541341,0.000005425941,0.9688396,0.0153839,0.0002761988,0.01485912,0.0001383099],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0884644,0.007598105,0.900915,0.001214262,0.0007654588,0.0002126937,0.00002369358,0.000118815,0.0006875611],"genre_scores_gemma":[0.9870783,0.00001587312,0.01202466,0.00003616972,0.0005374139,0.000002736053,0.000002490943,0.00004061816,0.0002617553],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8986139,"threshold_uncertainty_score":0.4674952,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01687911270243071,"score_gpt":0.1861353481811983,"score_spread":0.1692562354787676,"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."}}