{"id":"W4380901403","doi":"10.1039/d3cc02148c","title":"Improving the performance of β-diketonate-based Dy<sup>III</sup> single-molecule magnets displaying luminescence thermometry","year":2023,"lang":"en","type":"article","venue":"Chemical Communications","topic":"Magnetism in coordination complexes","field":"Materials Science","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; Fundação de Amparo à Pesquisa do Estado de São Paulo; Conselho Nacional de Desenvolvimento Científico e Tecnológico; University of Ottawa","keywords":"Luminescence; Magnet; Molecule; Materials science; Single-molecule magnet; Lanthanide; Analytical Chemistry (journal); Nanotechnology; Chemistry; Physics; Optoelectronics; Magnetic field; Magnetization; Ion; Organic chemistry","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":[0.0006352655,0.0001732828,0.0002063892,0.0001221033,0.0004156531,0.00008771949,0.002481732,0.00008127266,0.0002340537],"category_scores_gemma":[0.0005353683,0.0001420848,0.00008005313,0.001052128,0.0007251516,0.0001822788,0.0009808358,0.0002560065,0.0001495843],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006187612,"about_ca_system_score_gemma":0.00007572566,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008032103,"about_ca_topic_score_gemma":0.000004480478,"domain_scores_codex":[0.9983909,0.0001592047,0.0004662052,0.000282632,0.000367638,0.000333401],"domain_scores_gemma":[0.9963911,0.001057343,0.0002290327,0.002040498,0.0002116258,0.00007045246],"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":[0.00001131137,0.00008213989,0.0003826095,0.00007057065,0.000002967634,3.56994e-7,0.0001969164,0.0002259523,0.9962027,0.0003956122,0.000427687,0.00200118],"study_design_scores_gemma":[0.0002616509,0.00003980716,0.0007395017,0.00006170732,0.00001720624,0.000003095509,0.0001495936,0.1892713,0.8085048,0.00006411572,0.000714137,0.0001731266],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9940591,0.0002789535,0.000584887,0.002457655,0.00006395044,0.000275889,0.00003073628,0.0002320393,0.002016761],"genre_scores_gemma":[0.9953534,0.00002620364,0.003961012,0.0001718538,0.00003072271,0.0001221538,0.0000725587,0.00002629451,0.0002357901],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1890454,"threshold_uncertainty_score":0.5794048,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03561822730675845,"score_gpt":0.2684892096272259,"score_spread":0.2328709823204675,"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."}}