{"id":"W2989077241","doi":"10.1039/c9ta11462a","title":"Solution-processed perovskite-colloidal quantum dot tandem solar cells for photon collection beyond 1000 nm","year":2019,"lang":"en","type":"article","venue":"Journal of Materials Chemistry A","topic":"Perovskite Materials and Applications","field":"Engineering","cited_by":60,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Qatar National Research Fund; Ontario Research Foundation; Fonds National de la Recherche Luxembourg; Qatar Foundation","keywords":"Perovskite (structure); Tandem; Energy conversion efficiency; Optoelectronics; Halide; Materials science; Quantum dot; Photon; Infrared; Colloid; Nanotechnology; Optics; Chemistry; Inorganic chemistry; Physics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003979056,0.0002150315,0.0004394541,0.00005001188,0.0001047597,0.0001971059,0.0002240965,0.0001871537,0.000854718],"category_scores_gemma":[0.00003109949,0.0002044578,0.0001212546,0.0001242696,0.00002234894,0.0001792255,0.00002232027,0.0001077385,0.00003350536],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001460792,"about_ca_system_score_gemma":0.00008872433,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006331226,"about_ca_topic_score_gemma":7.894838e-7,"domain_scores_codex":[0.9986719,0.00001496638,0.0006682609,0.0001611642,0.0002026022,0.0002810484],"domain_scores_gemma":[0.9991106,0.00005207953,0.0003105008,0.0001812014,0.0002422517,0.0001033387],"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":[0.0001025602,0.00005055073,0.000009244734,0.000540715,0.00005253217,0.000001215709,0.00006563021,0.000729936,0.9934497,0.00001286302,0.004964895,0.0000201193],"study_design_scores_gemma":[0.001011901,0.0000607364,0.00004811194,0.0000773226,0.00004931371,0.00003698395,0.00006388576,0.0004984171,0.9776556,0.0002064365,0.02007221,0.0002190797],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.996582,0.00008308276,0.000531811,0.00006898594,0.0014042,0.0002933758,0.0001211705,0.0000646652,0.0008506577],"genre_scores_gemma":[0.9978581,0.0001236213,0.0005676016,0.00002514988,0.0008484816,0.00004831189,0.00003125775,0.00004829422,0.0004491595],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01579413,"threshold_uncertainty_score":0.9358563,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00687315053089732,"score_gpt":0.2108756029027777,"score_spread":0.2040024523718804,"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."}}