{"id":"W4407381388","doi":"10.1039/d4sc08549c","title":"A novel Ln<sup>3+</sup>/Al<sup>3+</sup> metallacrown multifunctional material for latent fingerprint detection, luminescent thermometers and luminescent sensors","year":2025,"lang":"en","type":"article","venue":"Chemical Science","topic":"Luminescence and Fluorescent Materials","field":"Materials Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Natural Science Foundation of Heilongjiang Province; National Natural Science Foundation of China","keywords":"Luminescence; Fingerprint (computing); Materials science; Chemistry; Nanotechnology; Analytical Chemistry (journal); Optoelectronics; Computer science; Chromatography; Artificial intelligence","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006987937,0.0003047719,0.0001755803,0.0001870051,0.0001939988,0.0003945604,0.0004461146,0.0003708498,0.001536262],"category_scores_gemma":[0.0001137613,0.0001400858,0.000118682,0.0002165872,0.0002107104,0.0003502682,0.0001838259,0.0001906371,0.0006568888],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002765484,"about_ca_system_score_gemma":0.0001495332,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004048391,"about_ca_topic_score_gemma":0.0009066456,"domain_scores_codex":[0.9999382,0.000005014407,0.000003416956,0.00002366885,0.00001858764,0.00001102479],"domain_scores_gemma":[0.9999607,0.000005010007,0.0000103234,0.000004250056,0.000010245,0.000009493976],"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":[0.00002716582,0.000005781836,0.00008004645,0.00007289897,0.000004144184,0.00007499487,0.000008760746,0.00005523682,0.9943985,0.0003222339,0.0002508467,0.004699356],"study_design_scores_gemma":[0.000006943624,0.00007481806,0.0005794828,0.000004955707,0.00001600021,0.0004483547,0.00001578821,0.001140371,0.9879095,0.00006222875,0.00973433,0.000007348183],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8714154,0.008565253,0.08969236,0.001006671,0.0007499059,0.0001350944,0.0009931779,0.002597679,0.02484443],"genre_scores_gemma":[0.9481937,0.001130984,0.03708287,0.0002797947,0.00007356716,0.00004994551,0.0002421463,0.00009148303,0.01285554],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001536262,"threshold_uncertainty_score":0.005139291,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01496900890951653,"score_gpt":0.2487289056342095,"score_spread":0.233759896724693,"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."}}