{"id":"W2560265207","doi":"10.1115/detc2016-59572","title":"Computational Modeling and Field Evaluation of an Innovative Solar Updraft Aeration System for Aquaculture in the Developing World","year":2016,"lang":"en","type":"article","venue":"","topic":"Solar-Powered Water Purification Methods","field":"Energy","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Grand Challenges Canada; Government of Canada; United States Agency for International Development","keywords":"Aquaculture; Environmental science; Aeration; Environmental engineering; Fishery; Waste management; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002592988,0.00008483631,0.0001137096,0.0001357807,0.00007401199,0.00003418676,0.00009783435,0.00006274638,0.00001293735],"category_scores_gemma":[0.0002898647,0.00004850133,0.00001500681,0.0003314126,0.00001391162,0.0003022482,0.00001135747,0.00004867116,0.000001108154],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008345553,"about_ca_system_score_gemma":0.00007789879,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009177758,"about_ca_topic_score_gemma":0.0004937573,"domain_scores_codex":[0.998647,0.0004350973,0.00035576,0.0001851667,0.0002810384,0.00009589382],"domain_scores_gemma":[0.9985542,0.0004209832,0.0001031203,0.0001279094,0.000780644,0.00001316723],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001619493,0.00007068974,0.001882463,0.0001336085,0.00007674989,3.902374e-7,0.01283781,0.2009318,0.01587803,0.6014731,0.0001035823,0.1664498],"study_design_scores_gemma":[0.001160856,0.00003841777,0.001395403,0.00009731427,0.00001806927,0.000002372957,0.002065741,0.9456369,0.02770008,0.02158838,0.0001652317,0.000131238],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3105937,0.00001650845,0.6870525,0.001145596,0.00005053823,0.0003796948,0.00000333495,0.00002206281,0.0007361341],"genre_scores_gemma":[0.8505684,5.238756e-7,0.1490519,0.0001681763,0.00003890766,0.0001021094,0.00003090134,0.000007079521,0.00003192276],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7447051,"threshold_uncertainty_score":0.1977827,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09004444330055715,"score_gpt":0.363835622308525,"score_spread":0.2737911790079678,"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."}}