{"id":"W4389921647","doi":"10.1021/acsnano.3c10301","title":"Hot Excitons Cool in Metal Halide Perovskite Nanocrystals as Fast as CdSe Nanocrystals","year":2023,"lang":"en","type":"article","venue":"ACS Nano","topic":"Perovskite Materials and Applications","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Fonds Québécois de la Recherche sur la Nature et les Technologies; H2020 European Research Council; Canada Foundation for Innovation; Sony","keywords":"Quantum dot; Exciton; Photoluminescence; Perovskite (structure); Biexciton; Auger effect; Materials science; Nanocrystal; Phonon; Halide; Condensed matter physics; Chemical physics; Auger; Physics; Nanotechnology; Optoelectronics; Atomic physics; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002993834,0.0003348961,0.0004244151,0.0002987785,0.0001367129,0.0001537619,0.0003875624,0.0001721117,0.0007196944],"category_scores_gemma":[0.00008036344,0.0003418914,0.000110755,0.0009022956,0.00006642073,0.0002511118,0.000142306,0.0001540266,0.003986976],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009071458,"about_ca_system_score_gemma":0.00005432474,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002566252,"about_ca_topic_score_gemma":0.00008448811,"domain_scores_codex":[0.9980816,0.00005229138,0.000515573,0.0004001167,0.0002858776,0.0006645709],"domain_scores_gemma":[0.9990553,0.0001061267,0.00005884707,0.0005684512,0.0000465774,0.0001647358],"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":[0.000009356806,0.00003718713,0.00007937973,0.00005661842,0.00004185408,0.00005698407,0.0004604091,0.001481329,0.9908649,0.001639839,0.004388959,0.0008831703],"study_design_scores_gemma":[0.001153662,0.00009151125,0.005047535,0.0001547962,0.00005665535,0.00006542367,0.0006835361,0.0008578952,0.7692335,0.001750379,0.2198854,0.001019774],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9902188,0.0002471343,0.00006925254,0.0001895981,0.0003578691,0.000431085,0.0001959406,0.0008414979,0.007448826],"genre_scores_gemma":[0.9950454,0.0002513994,0.0001111628,0.000131472,0.0001410223,0.0003357881,0.0001516893,0.0001034884,0.003728549],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2216315,"threshold_uncertainty_score":0.9999033,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01276208526733381,"score_gpt":0.2448356660835956,"score_spread":0.2320735808162617,"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."}}