{"id":"W3004419478","doi":"10.1002/advs.201903166","title":"Heterogeneous Supersaturation in Mixed Perovskites","year":2020,"lang":"en","type":"article","venue":"Advanced Science","topic":"Perovskite Materials and Applications","field":"Engineering","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria; University of Toronto","funders":"Office of Naval Research; Natural Sciences and Engineering Research Council of Canada; U.S. Navy; Ministry of Science and Technology, Taiwan; Government of Canada","keywords":"Perovskite (structure); Supersaturation; Photovoltaics; Materials science; Nucleation; Halide; Photovoltaic system; Silicon; Transmission electron microscopy; Energy conversion efficiency; Diffraction; Optoelectronics; Nanotechnology; Chemical physics; Crystallography; Chemistry; Optics; Inorganic chemistry; 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":[0.00008701083,0.0001488916,0.0001504666,0.0002592136,0.0002162492,0.000541575,0.0002711205,0.0001470005,0.0005904526],"category_scores_gemma":[0.0002137096,0.0002109287,0.0001304292,0.0001900821,0.0002475131,0.0004421955,0.0003094395,0.000249843,0.0001226932],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004611461,"about_ca_system_score_gemma":0.0002431243,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002568685,"about_ca_topic_score_gemma":0.003852989,"domain_scores_codex":[0.9999034,0.000007209066,0.000005485948,0.00003272232,0.00003497877,0.00001626932],"domain_scores_gemma":[0.999917,0.0000222016,0.00002545202,0.000006341385,0.00001956886,0.000009354261],"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":[0.00009535037,0.00001854882,0.001440609,0.00005951086,0.00001537815,0.0001431235,0.0000699996,0.001592551,0.9919279,0.001469931,0.00005514888,0.003112037],"study_design_scores_gemma":[0.000006355425,0.00006341418,0.002379752,0.000003476254,0.00001216268,0.00008652775,0.0000459361,0.0100948,0.9860225,0.0003783892,0.0009012995,0.000005464484],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.993906,0.0009130074,0.002890543,0.00003341107,0.000007808382,0.00001118241,0.0001054522,0.00006636707,0.002066386],"genre_scores_gemma":[0.9987689,0.0001935399,0.0004958704,0.000005798857,0.000002943085,0.000005956778,0.00005582238,0.000008074167,0.0004630678],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002568685,"threshold_uncertainty_score":0.005107403,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01006493803799428,"score_gpt":0.213916917657837,"score_spread":0.2038519796198427,"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."}}