{"id":"W4404321513","doi":"10.1016/j.applthermaleng.2024.124887","title":"An innovative Solar-Power fed atmospheric water Generator: Quantity and quality Assessments","year":2024,"lang":"en","type":"article","venue":"Applied Thermal Engineering","topic":"Solar Radiation and Photovoltaics","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Environmental science; Generator (circuit theory); Power quality; Solar power; Power (physics); Environmental engineering; Electrical engineering; Engineering; Physics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005147247,0.000382596,0.0004744758,0.0004528851,0.0002896526,0.0003901117,0.0006026907,0.0005423584,0.002146938],"category_scores_gemma":[0.0006335809,0.00016441,0.0003571958,0.0003610792,0.0002129119,0.0004894508,0.0003141102,0.000295163,0.0004356109],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002598049,"about_ca_system_score_gemma":0.0001933945,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005470341,"about_ca_topic_score_gemma":0.0008847071,"domain_scores_codex":[0.9996675,0.00004743629,0.00002161788,0.00007992215,0.0001620379,0.00002146395],"domain_scores_gemma":[0.9996754,0.0000605341,0.00004032879,0.00004460475,0.0001537049,0.00002546757],"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":[0.0006814342,0.0003471937,0.008847159,0.0007409617,0.0000586327,0.0003318055,0.0002259368,0.003099009,0.9118094,0.0002082859,0.001163447,0.0724868],"study_design_scores_gemma":[0.0001421968,0.005028589,0.03291526,0.0000350474,0.0001523427,0.0006134292,0.0001903211,0.02826055,0.9190451,0.0001987012,0.01335681,0.00006155582],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9526736,0.0004930701,0.04297407,0.00008874016,0.00008829554,0.0004931263,0.0008359618,0.0007503926,0.001602796],"genre_scores_gemma":[0.9766723,0.0002343652,0.01962769,0.00003394211,0.00001566739,0.0001723985,0.0004068786,0.00007098552,0.002765777],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002146938,"threshold_uncertainty_score":0.007182181,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01554859073922743,"score_gpt":0.2709878557844586,"score_spread":0.2554392650452312,"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."}}