{"id":"W3033328021","doi":"10.3390/resources9060069","title":"Modelling the Steady-State Performance of Coiled Falling-Film Drain Water Heat Recovery Systems Using Rated Data","year":2020,"lang":"en","type":"article","venue":"Resources","topic":"Heat Transfer and Optimization","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Heat exchanger; Work (physics); Steady state (chemistry); Mechanics; Falling (accident); Inlet; Metric (unit); Constant (computer programming); Volumetric flow rate; Flow (mathematics); Environmental science; Thermodynamics; Simulation; Computer science; Engineering; Chemistry; Mechanical engineering; Operations management; Physics","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":[0.0006765141,0.0006246819,0.0005461783,0.0004228218,0.0003128329,0.0006851194,0.0006611002,0.000800007,0.001311267],"category_scores_gemma":[0.001311194,0.0003685865,0.0007534864,0.0003797178,0.0004620487,0.0006401931,0.0002357466,0.0004320881,0.0004004816],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009525325,"about_ca_system_score_gemma":0.0005101405,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01342213,"about_ca_topic_score_gemma":0.008978841,"domain_scores_codex":[0.9997283,0.0000696905,0.00002321454,0.00006567353,0.00006120746,0.00005182017],"domain_scores_gemma":[0.9991579,0.0005617955,0.00008218753,0.00006393365,0.0001211489,0.00001300341],"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":[0.00006075572,0.00005044368,0.002075421,0.00004824446,0.000009269863,0.00002391904,0.00003152984,0.9915023,0.003407811,0.0001185189,0.00007774244,0.002594047],"study_design_scores_gemma":[0.000005360687,0.0000881057,0.001978928,0.000003608064,0.000006024337,0.000006801826,0.00001589592,0.9934715,0.004264527,0.0000660021,0.00008607713,0.000007212718],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9693422,0.0001032901,0.02640568,0.00004650608,0.000008298503,0.00006907745,0.0005198834,0.000295522,0.003209457],"genre_scores_gemma":[0.9978827,0.00003587567,0.001343664,0.000002876927,6.656624e-7,0.00003980963,0.0001637777,0.00001280861,0.0005178],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01342213,"threshold_uncertainty_score":0.02668804,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04507508261653638,"score_gpt":0.2134944732775271,"score_spread":0.1684193906609907,"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."}}