{"id":"W4205579122","doi":"10.1002/ange.202109532","title":"Energy Migration Control of Multimodal Emissions in an Er<sup>3+</sup>‐Doped Nanostructure for Information Encryption and Deep‐Learning Decoding","year":2021,"lang":"en","type":"article","venue":"Angewandte Chemie","topic":"Luminescence and Fluorescent Materials","field":"Materials Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"National Natural Science Foundation of China","keywords":"Doping; Ion; Fluorescence; Lanthanide; Excitation; Nanocrystal; Decoding methods; Wavelength; Photochemistry; Materials science; Nanostructure; Near-infrared spectroscopy; Photon upconversion; Chemistry; Optoelectronics; Nanotechnology; Computer science; Telecommunications; Optics; Physics; Organic chemistry","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002180579,0.0001206175,0.0002160506,0.00006868882,0.00009800757,0.00009323378,0.00007620068,0.0001268308,0.0001231347],"category_scores_gemma":[0.0002375061,0.0001097514,0.0000337784,0.00009261791,0.00003633028,0.0008357356,0.00002956743,0.00004800054,0.000001791942],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003140431,"about_ca_system_score_gemma":0.0000464123,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001014996,"about_ca_topic_score_gemma":0.00008739807,"domain_scores_codex":[0.999094,0.00005405044,0.0003443676,0.000183335,0.0001316039,0.0001926556],"domain_scores_gemma":[0.9994143,0.00006930387,0.0001529372,0.0001204872,0.0001770772,0.00006589574],"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":[0.00009878197,0.000020964,0.002733382,0.00007114132,0.000003194395,0.000001186981,0.001816212,0.0002299093,0.9929001,0.00007591259,0.00003905045,0.002010143],"study_design_scores_gemma":[0.001124992,0.00004697095,0.001227752,0.00007440318,0.00001477315,0.000005330947,0.0006277625,0.007126905,0.9886572,0.00009027416,0.0008761482,0.0001274318],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.996514,0.0001756118,0.002867434,0.00008807392,0.00009907367,0.0001429131,0.00003837497,0.00002800201,0.00004652331],"genre_scores_gemma":[0.9969819,0.0001359017,0.002301392,0.0001104644,0.00009770563,0.00003253875,0.0003064219,0.00000854166,0.00002516907],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006896995,"threshold_uncertainty_score":0.4475534,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009743198025817273,"score_gpt":0.2385597361984269,"score_spread":0.2288165381726096,"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."}}