{"id":"W2947056658","doi":"10.1039/c9sc00343f","title":"Exploring the dual functionality of an ytterbium complex for luminescence thermometry and slow magnetic relaxation","year":2019,"lang":"en","type":"article","venue":"Chemical Science","topic":"Magnetism in coordination complexes","field":"Materials Science","cited_by":112,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Fundação de Amparo à Pesquisa do Estado de São Paulo; Deutsche Forschungsgemeinschaft; Conselho Nacional de Desenvolvimento Científico e Tecnológico; University of Ottawa","keywords":"Ytterbium; Luminescence; Relaxation (psychology); Magnetic relaxation; Dual (grammatical number); Materials science; Nanotechnology; Nuclear magnetic resonance; Optoelectronics; Physics; Doping; Magnetic field; Psychology; Magnetization; Neuroscience","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001015076,0.00008864616,0.0001180556,0.0000487162,0.0001553152,0.00008429137,0.0004277789,0.00002116723,0.0003616228],"category_scores_gemma":[0.0004234865,0.00006330636,0.00002278056,0.0004157625,0.0008482808,0.0006265563,0.0001628384,0.00005367917,0.00001631727],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003329084,"about_ca_system_score_gemma":0.00004336552,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003063408,"about_ca_topic_score_gemma":0.000001418142,"domain_scores_codex":[0.9986917,0.00003258215,0.0002155629,0.0003873678,0.0004496978,0.000223088],"domain_scores_gemma":[0.9989747,0.0003327305,0.0001108119,0.0003177007,0.0001903302,0.00007375929],"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":[0.00001458404,0.00002248952,0.0008366106,0.00003239777,3.144113e-7,5.688123e-8,0.0001172308,0.000006836744,0.9928417,0.002116431,0.00003725493,0.003974074],"study_design_scores_gemma":[0.0002702693,0.0001401895,0.1932726,0.00001639021,0.000005656918,0.000007188252,0.0001199544,0.006523268,0.7974012,0.001707003,0.0004025412,0.0001337275],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976418,0.00002111432,0.0005907828,0.0005866767,0.0003743758,0.0002927189,0.00001266218,0.00003008006,0.0004498059],"genre_scores_gemma":[0.9953617,0.00000136256,0.004327192,0.00009624181,0.00006230855,0.00004502032,0.000003917559,0.000005095962,0.00009711754],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1954405,"threshold_uncertainty_score":0.3959516,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07790200413490518,"score_gpt":0.2774597602030925,"score_spread":0.1995577560681873,"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."}}