{"id":"W3036484570","doi":"10.1177/1687814020934999","title":"Numerical investigations of solar-assisted hybrid desiccant evaporative cooling system for hot and humid climate","year":2014,"lang":"en","type":"article","venue":"Advances in Mechanical Engineering","topic":"Adsorption and Cooling Systems","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Desiccant; Evaporative cooler; Environmental science; Vapor-compression refrigeration; Solar air conditioning; Active cooling; Solar energy; Relative humidity; Coefficient of performance; Evaporator; Cooling load; Humidity; Water cooling; Refrigeration; Cooling capacity; Passive cooling; Process engineering; Air cooling; Meteorology; Air conditioning; Refrigerant; Materials science; Gas compressor; Mechanical engineering; Engineering; Thermal; Composite material","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":[],"consensus_categories":[],"category_scores_codex":[0.0003451893,0.0001733945,0.0003691636,0.0001029922,0.00003892358,0.00001661959,0.0001036025,0.00006323455,0.000001186491],"category_scores_gemma":[0.0001882966,0.0001790894,0.00005051272,0.0001806403,0.00002506152,0.0001858656,0.00002059568,0.000152396,0.000001697058],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007093654,"about_ca_system_score_gemma":0.000008494526,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000253593,"about_ca_topic_score_gemma":0.000002717796,"domain_scores_codex":[0.998914,0.00002698319,0.0004643749,0.0001976086,0.0001202938,0.0002767614],"domain_scores_gemma":[0.9993871,0.0002520916,0.00006883113,0.0001468247,0.00004522956,0.00009996058],"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":[0.00003070513,0.00001653425,0.00006468713,0.001743888,0.0000260539,0.000002332932,0.00009705801,0.9068278,0.03547598,0.05131735,0.000004004175,0.004393609],"study_design_scores_gemma":[0.0004269441,0.00005528209,0.00006393286,0.0004593659,0.00001412479,0.0000163428,0.00007156038,0.964182,0.03358182,0.0002069803,0.0007232228,0.0001984665],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04918618,0.0007251104,0.9489796,0.000007002632,0.0004603949,0.0002679224,0.00001520468,0.0002895012,0.00006910793],"genre_scores_gemma":[0.9813445,0.00009726155,0.01831926,0.000007987731,0.00007542059,0.0001050749,0.00000941574,0.00003951319,0.000001621145],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9321583,"threshold_uncertainty_score":0.7303054,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01041285095318986,"score_gpt":0.231270730804641,"score_spread":0.2208578798514512,"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."}}