{"id":"W4396890232","doi":"10.1002/cssc.202400951","title":"Cover Feature: Advances in Hierarchical Inorganic Nanostructures for Efficient Solar Energy Harvesting Systems (ChemSusChem 11/2024)","year":2024,"lang":"en","type":"article","venue":"ChemSusChem","topic":"Solar-Powered Water Purification Methods","field":"Energy","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; University of Waterloo","funders":"","keywords":"Renewable energy; Solar energy; Photovoltaic system; Environmental science; Fossil fuel; Photovoltaics; Solar energy conversion; Clean energy; Nanotechnology; Materials science; Waste management; Environmental engineering; Engineering; 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008917578,0.0006126813,0.0006630358,0.0003880569,0.0001884142,0.000435152,0.0006375323,0.0005729025,0.0001551647],"category_scores_gemma":[0.0008527467,0.0005676719,0.0002628842,0.001141983,0.0001704574,0.0003937056,0.0001697538,0.0007098283,0.00006970798],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003918239,"about_ca_system_score_gemma":0.000240233,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002239984,"about_ca_topic_score_gemma":0.00007872297,"domain_scores_codex":[0.9962059,0.0002184848,0.0007976323,0.001268525,0.0005461858,0.0009633315],"domain_scores_gemma":[0.9976174,0.0009788038,0.0001733995,0.0007841098,0.0001680949,0.0002782019],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000304837,0.0002794652,0.001288413,0.002937929,0.0002850045,0.0001551684,0.002026408,0.01767516,0.7704172,0.14613,0.02182457,0.03667594],"study_design_scores_gemma":[0.0006499007,0.00003868037,0.0001551802,0.0002394343,0.00004151631,0.00006069094,0.0001442482,0.02228293,0.4070178,0.001298942,0.567518,0.0005526355],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6032772,0.1510101,0.1650989,0.003282133,0.02657196,0.003229176,0.0004034053,0.004012092,0.04311495],"genre_scores_gemma":[0.9675643,0.0001918487,0.01726794,0.0002078933,0.001335493,0.0005017587,0.0002270922,0.0002504624,0.01245323],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5456935,"threshold_uncertainty_score":0.9996775,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01436568929786593,"score_gpt":0.2763105370804166,"score_spread":0.2619448477825507,"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."}}