{"id":"W1985157536","doi":"10.1080/10789669.2009.10390840","title":"Effectiveness of Desiccant Coated Regenerative Wheels from Transient Response Characteristics and Flow Channel Properties—Part I: Development of Effectiveness Equations from Transient Response Characteristics","year":2009,"lang":"en","type":"article","venue":"HVAC&R Research","topic":"Adsorption and Cooling Systems","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Desiccant; Transient (computer programming); Airflow; Mechanics; Dimensionless quantity; Transient response; Flow (mathematics); Materials science; Steady state (chemistry); Diffusion; Humidity; Constant (computer programming); Environmental science; Thermodynamics; Control theory (sociology); Mechanical engineering; Engineering; Computer science; Chemistry; Composite material; Physics; Electrical engineering","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.005296251,0.000345689,0.0007869955,0.0004038966,0.000223045,0.00006294237,0.0002650766,0.000217593,0.00002456303],"category_scores_gemma":[0.0006666217,0.0003216039,0.000090455,0.0005305185,0.0001925342,0.0001338044,0.00003997409,0.0004322747,0.00001542197],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003414066,"about_ca_system_score_gemma":0.0003857127,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007607383,"about_ca_topic_score_gemma":0.00001433989,"domain_scores_codex":[0.9934149,0.003892921,0.000873613,0.0004987512,0.000803068,0.0005167716],"domain_scores_gemma":[0.9960366,0.002452504,0.0001199481,0.0004628968,0.0007029902,0.0002250147],"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":[0.01781149,0.0002747169,0.0001240096,0.0004997501,0.0001826417,0.00002306345,0.009884106,0.001104948,0.967512,0.00003708083,0.00001456744,0.002531677],"study_design_scores_gemma":[0.001781122,0.0005897272,0.2741345,0.002819899,0.00004192677,0.000003297936,0.0003752732,0.04283848,0.6766952,0.00005423027,0.0002615051,0.0004047741],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.949328,0.0004628051,0.04785775,0.00004611666,0.000257103,0.001339206,0.0005968537,0.00009598238,0.00001616288],"genre_scores_gemma":[0.9989201,0.00006744495,0.0004040483,0.000005356303,0.00006652172,0.0002294276,0.0002080825,0.00005568832,0.00004329883],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2908167,"threshold_uncertainty_score":0.9999236,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0676125537178063,"score_gpt":0.2967151360758312,"score_spread":0.2291025823580249,"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."}}