{"id":"W4295088244","doi":"10.1038/s41467-022-32894-w","title":"Fluorescence-based thermal sensing with elastic organic crystals","year":2022,"lang":"en","type":"article","venue":"Nature Communications","topic":"Luminescence and Fluorescent Materials","field":"Materials Science","cited_by":109,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"FP7 Nanosciences, Nanotechnologies, Materials and new Production Technologies; Chinese Academy of Sciences; National Natural Science Foundation of China; European Commission; York University; New York University Abu Dhabi","keywords":"Fluorescence; Materials science; Thermal; Elasticity (physics); Optoelectronics; Atmospheric temperature range; Nanotechnology; Optics; Composite material; Physics; Thermodynamics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001914441,0.0001760136,0.0001471558,0.0001603249,0.0002016615,0.0003164287,0.0002635288,0.0003071864,0.0003824875],"category_scores_gemma":[0.0002694101,0.000138201,0.0001554778,0.0001614185,0.0003996599,0.0003814821,0.0003525191,0.0003458056,0.0001567643],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003749827,"about_ca_system_score_gemma":0.0002267048,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007802377,"about_ca_topic_score_gemma":0.001505621,"domain_scores_codex":[0.9998455,0.00001932924,0.000007906588,0.00003156232,0.00006656042,0.00002917476],"domain_scores_gemma":[0.9998988,0.00002989851,0.00003356128,0.00001047552,0.00001627699,0.00001092623],"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":[0.00003095167,0.00001579258,0.0002552451,0.00005072926,0.000005440537,0.00008748619,0.00002505737,0.001819069,0.992321,0.001710709,0.00009244702,0.003586039],"study_design_scores_gemma":[0.000006317724,0.00006140795,0.0005162334,0.000004672181,0.000004787761,0.00009309032,0.00002144981,0.008871261,0.9884639,0.0002116277,0.001731257,0.0000139606],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9569212,0.0009213706,0.03620286,0.0002791717,0.00006705891,0.00003325424,0.0001896029,0.0001447618,0.005240648],"genre_scores_gemma":[0.9790759,0.0006683179,0.01831628,0.00008680535,0.00001740935,0.00003119594,0.00007986389,0.00002302738,0.001701234],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007802377,"threshold_uncertainty_score":0.002720714,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01499147107400648,"score_gpt":0.251350122927702,"score_spread":0.2363586518536955,"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."}}