{"id":"W4391743724","doi":"10.1002/wene.508","title":"Bio‐based materials for solar cells","year":2024,"lang":"en","type":"article","venue":"Wiley Interdisciplinary Reviews Energy and Environment","topic":"solar cell performance optimization","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"H2020 European Research Council; Horizon 2020 Framework Programme; NordForsk; Suomen Kulttuurirahasto; Luonnontieteiden ja Tekniikan Tutkimuksen Toimikunta; Aalto-Yliopisto","keywords":"Photovoltaic system; Sustainability; Photovoltaics; Solar energy; Renewable energy; Energy harvesting; Process engineering; Biochemical engineering; Systems engineering; Computer science; Nanotechnology; Environmental science; Engineering; Energy (signal processing); Materials science; Electrical engineering; Physics; Ecology","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":[0.0002420226,0.0002043888,0.0002379584,0.00007432273,0.00007973256,0.00005940421,0.0000785115,0.00007849546,0.0003554934],"category_scores_gemma":[0.000001460999,0.0001708347,0.00008157158,0.00005204422,0.00003598362,0.000148609,0.0000883144,0.00004745682,0.0000839081],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009142393,"about_ca_system_score_gemma":0.000004288741,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":7.505214e-7,"about_ca_topic_score_gemma":0.000001429996,"domain_scores_codex":[0.9991576,0.00002359429,0.0003080876,0.0002380777,0.00007897162,0.0001936523],"domain_scores_gemma":[0.9996911,0.00002451248,0.00002304294,0.0001990467,0.000002740931,0.00005956833],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007639347,0.0001164381,0.00001960645,0.004972302,0.0001939144,0.00002371107,0.0009278634,0.2737755,0.2130594,0.000374004,0.07767079,0.4287901],"study_design_scores_gemma":[0.0001293029,0.00009102254,0.00000850033,0.0005369647,0.00005187665,0.000004776759,0.00001223821,0.3369053,0.04037903,0.000145209,0.6214818,0.0002539547],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02243099,0.1327397,0.8343645,0.0005631887,0.004271233,0.00145029,0.0001780211,0.0007057035,0.003296333],"genre_scores_gemma":[0.600159,0.3621036,0.03167185,0.000334278,0.001113002,0.001999132,0.0007238623,0.0003151112,0.001580224],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8026927,"threshold_uncertainty_score":0.6966435,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01166613367453534,"score_gpt":0.2252983297216086,"score_spread":0.2136321960470733,"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."}}