{"id":"W2790491312","doi":"10.1002/adma.201705494","title":"Imaging Heterogeneously Distributed Photo‐Active Traps in Perovskite Single Crystals","year":2018,"lang":"en","type":"article","venue":"Advanced Materials","topic":"Perovskite Materials and Applications","field":"Engineering","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"FP7 People: Marie-Curie Actions; European Research Council; Natural Science Foundation of Jiangsu Province; Fonds Wetenschappelijk Onderzoek; Onderzoeksraad, KU Leuven; Belgian Federal Science Policy Office; Hercules Foundation","keywords":"Materials science; Crystallite; Monocrystalline silicon; Nanocrystal; Photoluminescence; Crystallinity; Perovskite (structure); Nanotechnology; Passivation; Optoelectronics; Chemical engineering; Silicon; Composite material; Metallurgy","routes":{"ca_aff":true,"ca_fund":false,"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":[0.00007980905,0.0001245422,0.00009042997,0.0001859874,0.00008527117,0.0002308234,0.0002282027,0.0001329154,0.0003503676],"category_scores_gemma":[0.0001348455,0.0001211853,0.000078169,0.00009344922,0.0001786114,0.0001981836,0.0001222381,0.0001554982,0.00006080887],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002747605,"about_ca_system_score_gemma":0.0001553891,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001164513,"about_ca_topic_score_gemma":0.001531965,"domain_scores_codex":[0.9999598,0.000003220968,0.000001864054,0.00001377434,0.00001183316,0.000009507242],"domain_scores_gemma":[0.9999009,0.00002823724,0.00003326862,0.00000789293,0.00002048471,0.000009157452],"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":[0.00003293033,0.000007286663,0.0005421209,0.00001949848,0.000003247256,0.00005397327,0.00002197213,0.0002414795,0.9975892,0.00007834319,0.00001967389,0.001390256],"study_design_scores_gemma":[0.00001248319,0.0000501404,0.006478127,0.000003849106,0.000008499009,0.000158137,0.00006534017,0.0150922,0.9777736,0.0000686429,0.0002836879,0.000005387882],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9958733,0.0001586497,0.003493094,0.00002081506,0.000002755808,0.000005633327,0.00004730633,0.00002942316,0.0003691147],"genre_scores_gemma":[0.9953067,0.0001098618,0.00404633,0.000007971648,0.000002782558,0.00001050046,0.00003089511,0.000006509193,0.0004785138],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001164513,"threshold_uncertainty_score":0.002315462,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007440203048956357,"score_gpt":0.2251760584687883,"score_spread":0.217735855419832,"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."}}