{"id":"W2802531399","doi":"10.1039/c7nr08608c","title":"An ultra-broadband perovskite-PbS quantum dot sensitized carbon nanotube photodetector","year":2018,"lang":"en","type":"article","venue":"Nanoscale","topic":"Perovskite Materials and Applications","field":"Engineering","cited_by":45,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique; École de Technologie Supérieure","funders":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Materials science; Perovskite (structure); Photodetector; Quantum dot; Optoelectronics; Carbon nanotube; Photoconductivity; Halide; Broadband; Facilitator; Nanotechnology; Chemical engineering; Optics; Chemistry; Inorganic chemistry","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":[0.0001527472,0.0002054564,0.000248086,0.0002249163,0.0002444728,0.000307534,0.0004741024,0.000470727,0.0006743107],"category_scores_gemma":[0.0001433525,0.0001630038,0.000157834,0.0002957306,0.0001488335,0.0004161691,0.0002108298,0.0003209882,0.0003039],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002793622,"about_ca_system_score_gemma":0.000229344,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005175918,"about_ca_topic_score_gemma":0.001551857,"domain_scores_codex":[0.9998172,0.00001628406,0.00000671938,0.0000556188,0.00008494899,0.0000192848],"domain_scores_gemma":[0.999931,0.00001724238,0.000009378509,0.00000584269,0.00002169422,0.00001486564],"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":[0.00003022636,0.00003596329,0.0001821076,0.00003622317,0.000008166283,0.00007936133,0.000009132313,0.0001636717,0.9932892,0.0003035409,0.0002240925,0.005638378],"study_design_scores_gemma":[0.00001960149,0.0001177439,0.0007332538,0.000002739376,0.00001295047,0.0002588497,0.000007866814,0.005551365,0.9901969,0.00009730562,0.002990465,0.00001082569],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9096187,0.002353009,0.07380018,0.0007954665,0.0001702873,0.0001335224,0.00100133,0.001989999,0.01013764],"genre_scores_gemma":[0.9342068,0.0009522994,0.05670337,0.0001952878,0.00002918079,0.00006242249,0.0003876047,0.0000516957,0.007411384],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006743107,"threshold_uncertainty_score":0.002255797,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008633861545411245,"score_gpt":0.2262322740386688,"score_spread":0.2175984124932576,"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."}}