{"id":"W3193794205","doi":"10.1021/acsenergylett.1c00869","title":"Design and Utilization of Infrared Light for Interfacial Solar Water Purification","year":2021,"lang":"en","type":"article","venue":"ACS Energy Letters","topic":"Solar-Powered Water Purification Methods","field":"Energy","cited_by":54,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Desalination; Solar still; Environmental science; Radiative cooling; Solar desalination; Process engineering; Solar energy; Sustainability; Carbon footprint; Water desalination; Engineering physics; Engineering; Greenhouse gas; Meteorology; Chemistry; 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":[],"consensus_categories":[],"category_scores_codex":[0.0003611463,0.000164774,0.0002149703,0.0001316877,0.00009014769,0.00005500614,0.0001576479,0.0001355791,0.00006225835],"category_scores_gemma":[0.0001251308,0.0001477941,0.0000560396,0.0001599125,0.00005609625,0.0002238068,0.00004946092,0.00006305714,0.000005337329],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003692247,"about_ca_system_score_gemma":0.00002694072,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003551445,"about_ca_topic_score_gemma":0.000006738702,"domain_scores_codex":[0.9985069,0.0003281469,0.0003984753,0.0003662284,0.0001559358,0.0002443374],"domain_scores_gemma":[0.9991038,0.0001308151,0.0001126065,0.0003991084,0.000197051,0.00005663375],"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":[0.00007130705,0.00003501647,0.00005880226,0.00002680375,0.0000607664,0.000002320312,0.001198464,0.001684419,0.9770008,0.005727565,0.001362641,0.0127711],"study_design_scores_gemma":[0.0004717367,0.00002700082,0.0001578786,0.00001240132,0.00003427512,0.000006156157,0.00004453827,0.001157542,0.9104171,0.002920598,0.08458687,0.0001638758],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09333178,0.000158447,0.9024208,0.003181996,0.0003565914,0.0001392617,0.000004739279,0.00007466823,0.0003317349],"genre_scores_gemma":[0.8733146,0.00009039426,0.1221741,0.00243603,0.0002059591,0.0001933155,0.0003929517,0.00007928084,0.001113361],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7802467,"threshold_uncertainty_score":0.6026869,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04087419111493101,"score_gpt":0.272219488190582,"score_spread":0.231345297075651,"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."}}