{"id":"W2894410008","doi":"10.1038/s41467-018-06342-7","title":"Multibandgap quantum dot ensembles for solar-matched infrared energy harvesting","year":2018,"lang":"en","type":"article","venue":"Nature Communications","topic":"Quantum Dots Synthesis And Properties","field":"Materials Science","cited_by":80,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"King Abdullah University of Science and Technology; Natural Sciences and Engineering Research Council of Canada; Government of Canada","keywords":"Quantum dot; Optoelectronics; Band gap; Lead sulfide; Energy conversion efficiency; Photocurrent; Materials science; Quantum efficiency; Silicon; Multiple exciton generation; Infrared; Solar energy; Nanotechnology; Physics; Optics; Electrical engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000917479,0.0001057911,0.0001317861,0.0001118643,0.0001381969,0.0002647003,0.0001554572,0.0001266329,0.0006220607],"category_scores_gemma":[0.00009385162,0.000102571,0.0000792511,0.0001003202,0.0001346417,0.0001813088,0.0001906108,0.0001675132,0.0001222457],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002877056,"about_ca_system_score_gemma":0.000129084,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004893708,"about_ca_topic_score_gemma":0.001979242,"domain_scores_codex":[0.9999547,0.00000561677,0.000003118021,0.00001370471,0.00001694391,0.00000594958],"domain_scores_gemma":[0.9999642,0.000007161194,0.000006139271,0.000006004913,0.000007762261,0.00000861066],"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":[0.00001593845,0.00002033458,0.0001723804,0.00001284111,0.000003594176,0.00001319741,0.000009546248,0.0009815504,0.9963627,0.000666898,0.00006087994,0.00168015],"study_design_scores_gemma":[0.000009388668,0.00006555888,0.0004384025,0.000001706957,0.00000719013,0.00001763551,0.000008186132,0.01803864,0.9802813,0.0001236492,0.001004413,0.000003910343],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9906273,0.0002990568,0.007138837,0.00006975279,0.00001522702,0.00001438631,0.00004358603,0.00007589254,0.001715859],"genre_scores_gemma":[0.9953884,0.00007758023,0.003862927,0.00001129159,0.00000159269,0.000007943479,0.00002262697,0.00000897724,0.0006187279],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006220607,"threshold_uncertainty_score":0.002087533,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05210070921131545,"score_gpt":0.3065986940375665,"score_spread":0.254497984826251,"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."}}