{"id":"W4285492579","doi":"10.21203/rs.3.rs-1776271/v1","title":"Crosslinked ion diffusion inhibitors stabilize 3D/2D perovskite heterostructures for efficient and stable photovoltaics","year":2022,"lang":"en","type":"preprint","venue":"Research Square","topic":"Perovskite Materials and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Suzhou Institute of Nanotechnology, Chinese Academy of Sciences; Wuhan National Laboratory for Optoelectronics; National Natural Science Foundation of China","keywords":"Photovoltaics; Perovskite (structure); Diffusion; Heterojunction; Ion; Materials science; Nanotechnology; Optoelectronics; Chemical physics; Engineering physics; Chemistry; Photovoltaic system; Physics; Crystallography; Engineering; Electrical engineering; Thermodynamics","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":[0.00008260997,0.0002711911,0.0001676452,0.0001423569,0.000124764,0.0003609293,0.0002292578,0.0002363122,0.0006873364],"category_scores_gemma":[0.0001040424,0.0001764826,0.0001554149,0.0001066339,0.0001188845,0.0002232605,0.0002008971,0.0002577605,0.0002645179],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002443859,"about_ca_system_score_gemma":0.0001010831,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003725425,"about_ca_topic_score_gemma":0.0007205917,"domain_scores_codex":[0.999927,0.000004867455,0.000005751465,0.00001976082,0.00002693007,0.00001560318],"domain_scores_gemma":[0.9999385,0.00001089953,0.00002202929,0.00000794624,0.00001277648,0.000007881756],"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":[0.000006762048,0.000006057658,0.00005196059,0.000009585216,0.000001891562,0.00001042093,0.000004855022,0.0001204519,0.9993075,0.00004319384,0.00002223335,0.0004150363],"study_design_scores_gemma":[0.000002418677,0.0000148159,0.0002591242,0.000001053799,0.000002116482,0.00001625834,0.000003340007,0.001262774,0.9980236,0.00001209867,0.0004006855,0.000001665854],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9914801,0.0007394172,0.005853281,0.00005695165,0.00002964175,0.00001444782,0.0001839048,0.0002399488,0.001402277],"genre_scores_gemma":[0.9940898,0.0002888454,0.00426392,0.00002464551,0.000005868561,0.0000152391,0.000123545,0.00002666874,0.001161327],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006873364,"threshold_uncertainty_score":0.002299368,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03327960514909888,"score_gpt":0.3345626711422465,"score_spread":0.3012830659931476,"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."}}