{"id":"W3127230091","doi":"10.21203/rs.3.rs-156610/v1","title":"Numerical Investigation On Water Extraction From The Atmosphere By Underground Condensation Water Production System","year":2021,"lang":"en","type":"preprint","venue":"Research Square","topic":"Solar-Powered Water Purification Methods","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Condensation; Atmosphere (unit); Extraction (chemistry); Production (economics); Environmental science; Water extraction; Groundwater; Petroleum engineering; Environmental engineering; Geology; Meteorology; Chemistry; Geotechnical engineering; Geography","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","scholarly_communication","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003992182,0.000478179,0.0004570568,0.00008337173,0.0007915336,0.001051714,0.0006210857,0.0008856694,0.0008802972],"category_scores_gemma":[0.0006326403,0.0002893087,0.0002064128,0.0003321515,0.0002326041,0.0003997948,0.000399624,0.002738429,0.0009613543],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001800771,"about_ca_system_score_gemma":0.0002437755,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00970559,"about_ca_topic_score_gemma":0.0002070541,"domain_scores_codex":[0.987798,0.006889782,0.0007789375,0.00157721,0.002131616,0.0008245075],"domain_scores_gemma":[0.9956766,0.0007193846,0.0001823684,0.001973054,0.001233518,0.0002151112],"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":[0.0008944449,0.0007315407,0.005264314,0.00264003,0.001116798,0.00009368807,0.02615882,0.1048039,0.808309,0.005579473,0.03151597,0.01289203],"study_design_scores_gemma":[0.0004889891,0.000127709,0.003672489,0.001056971,0.00007849721,0.00001990732,0.00764189,0.006042032,0.9493961,0.007982165,0.02281455,0.0006786457],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9771255,0.0004675693,0.005367807,0.01031992,0.00281495,0.001877257,0.0000493009,0.000446384,0.001531369],"genre_scores_gemma":[0.986562,0.00006936876,0.001274693,0.00009766762,0.001515181,0.0008749418,0.006919465,0.0001415296,0.002545205],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1410872,"threshold_uncertainty_score":0.9999853,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1085595182182303,"score_gpt":0.3761817212399814,"score_spread":0.2676222030217512,"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."}}