{"id":"W3147484491","doi":"10.1002/adom.202100101","title":"Hyperspectral Imaging and Optical Trapping: Complementary Tools for Assessing Direction‐Dependent Polarized Emission from Single Upconverting LiYF<sub>4</sub>:Yb<sup>3+</sup>/Er<sup>3+</sup> Microparticles","year":2021,"lang":"en","type":"article","venue":"Advanced Optical Materials","topic":"Luminescence Properties of Advanced Materials","field":"Materials Science","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; China Scholarship Council; University of Ottawa","keywords":"Materials science; Hyperspectral imaging; Ytterbium; Particle (ecology); Ion; Emission spectrum; Yttrium; Photon upconversion; Spectroscopy; Luminescence; Analytical Chemistry (journal); Doping; Optoelectronics; Spectral line; Chemistry; Physics","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":[0.0002350979,0.0003597972,0.000298487,0.0004173492,0.0001942311,0.0004459836,0.0003065071,0.000436092,0.001028042],"category_scores_gemma":[0.0003091797,0.0002257727,0.0001934827,0.0002337597,0.0004963618,0.0006481687,0.0005442197,0.0005652994,0.0002519341],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003077683,"about_ca_system_score_gemma":0.000222961,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003021588,"about_ca_topic_score_gemma":0.0005967888,"domain_scores_codex":[0.9997992,0.00003089863,0.000008162095,0.00005021536,0.00007904069,0.00003257638],"domain_scores_gemma":[0.9996316,0.00009270736,0.0001513459,0.00003714342,0.00005450983,0.0000327163],"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":[0.00006652807,0.00002023444,0.0003219667,0.00004769898,0.000007933713,0.00002294378,0.00004171352,0.0001845334,0.9918368,0.0003892006,0.00004936913,0.007011089],"study_design_scores_gemma":[0.000004762034,0.00005705274,0.001550838,0.000004581158,0.00001003995,0.0001490532,0.00005298299,0.005541857,0.9919412,0.0001311275,0.0005426299,0.00001386256],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9150803,0.001716979,0.07853714,0.0002615574,0.00004290441,0.00005411484,0.0002004843,0.0003283275,0.003778183],"genre_scores_gemma":[0.9044083,0.0008258091,0.09236751,0.0001193307,0.00003399377,0.0001047302,0.0001203042,0.00005008105,0.001969925],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001028042,"threshold_uncertainty_score":0.003439128,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0253138404127069,"score_gpt":0.2704651160511171,"score_spread":0.2451512756384102,"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."}}