{"id":"W3161908593","doi":"10.2172/1779380","title":"Designing New Materials for Photovoltaics: Opportunities for Lowering Cost and Increasing Performance through Advanced Material Innovations","year":2021,"lang":"en","type":"report","venue":"","topic":"Chalcogenide Semiconductor Thin Films","field":"Engineering","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Photovoltaics; Architectural engineering; Nanotechnology; Engineering physics; Materials science; Engineering; Photovoltaic system; Electrical engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008641221,0.000611413,0.0009215933,0.0001995098,0.0002111341,0.0003569416,0.000196236,0.000448989,0.0002794258],"category_scores_gemma":[0.0005130875,0.000690554,0.0001087488,0.0001513836,0.0000517253,0.0006472443,0.0001211563,0.0001896454,8.662501e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005209902,"about_ca_system_score_gemma":0.0009162671,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001979481,"about_ca_topic_score_gemma":0.00003527075,"domain_scores_codex":[0.9975037,0.00001737239,0.0009958899,0.000507136,0.0003705262,0.0006053492],"domain_scores_gemma":[0.9982276,0.0002458053,0.0002566424,0.0003840765,0.0007714673,0.0001143964],"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":[0.00008199973,0.000007282219,0.00000849045,0.003530169,0.0002396632,0.000008120344,0.0002351542,0.0002075612,0.9744499,0.00006731689,0.01505848,0.006105848],"study_design_scores_gemma":[0.0006376244,0.00004658087,0.000007544536,0.0008591954,0.0001325779,0.0001787468,0.0005026178,0.0002329775,0.8011994,0.00009866912,0.1953638,0.0007402449],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.915399,0.001746458,0.04893511,0.00005561037,0.01452885,0.004783491,0.002806261,0.001283295,0.01046192],"genre_scores_gemma":[0.4099346,0.03091416,0.499377,0.0005314469,0.0110687,0.005107144,0.01784975,0.002435042,0.02278218],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5054644,"threshold_uncertainty_score":0.9995546,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.12673604890933,"score_gpt":0.3005335245669229,"score_spread":0.1737974756575929,"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."}}