{"id":"W4403252689","doi":"10.1002/adom.202401470","title":"Fe<sup>3+</sup> Assisted Synthesis of Stable 3D‐in‐2D CsPbBr<sub>3</sub>/CsPb<sub>2</sub>Br<sub>5</sub> Nanocomposites for Optical Gain Media","year":2024,"lang":"en","type":"article","venue":"Advanced Optical Materials","topic":"Perovskite Materials and Applications","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"Fonds de recherche du Québec – Nature et technologies; Canada Research Chairs; Shanghai Educational Development Foundation; Natural Sciences and Engineering Research Council of Canada; Ministry of Education, India; Centre québécois sur les matériaux fonctionnels; National Science and Technology Council","keywords":"Materials science; Nanocomposite; Nanotechnology","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":[0.00006758593,0.00037293,0.0001543169,0.0001425903,0.0001246164,0.0002571729,0.0002163212,0.0002489532,0.0008428351],"category_scores_gemma":[0.0000729907,0.0002157642,0.0002077527,0.0001064811,0.00009606429,0.000201703,0.0001929192,0.0002364433,0.0003527001],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002223487,"about_ca_system_score_gemma":0.0001555866,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007828585,"about_ca_topic_score_gemma":0.002100792,"domain_scores_codex":[0.9999454,0.000004150345,0.000003452139,0.00001309178,0.00001904069,0.00001476819],"domain_scores_gemma":[0.999962,0.000004244419,0.00001118607,0.000003603415,0.000008170931,0.00001069878],"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":[0.00001989259,0.000009439716,0.00003597699,0.00002323868,0.000003512715,0.00003180798,0.000008129803,0.0002514975,0.998316,0.00006172869,0.00004943841,0.00118927],"study_design_scores_gemma":[0.000006702437,0.00004018093,0.0005243646,0.000001680167,0.000005494389,0.00003752657,0.000007359538,0.003346317,0.995241,0.00001646114,0.000768006,0.000005016645],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9822081,0.0006252908,0.01206918,0.00007131391,0.00004098788,0.00003852424,0.0002827905,0.000437059,0.004226759],"genre_scores_gemma":[0.9900417,0.0001670369,0.007873838,0.00002461486,0.000004101475,0.00001892754,0.0001314577,0.00005019856,0.001687942],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008428351,"threshold_uncertainty_score":0.002819598,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009855150793241951,"score_gpt":0.2306252759175874,"score_spread":0.2207701251243455,"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."}}