{"id":"W2147948015","doi":"10.1002/chem.201404058","title":"Tunable Trimers: Using Temperature and Pressure to Control Luminescent Emission in Gold(I) Pyrazolate‐Based Trimers","year":2014,"lang":"en","type":"article","venue":"Chemistry - A European Journal","topic":"Organometallic Complex Synthesis and Catalysis","field":"Chemistry","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"Lawrence Berkeley National Laboratory; Basic Energy Sciences; Natural Sciences and Engineering Research Council of Canada; U.S. Department of Energy; Office of Science; Engineering and Physical Sciences Research Council; University of Bath; National Science Foundation","keywords":"Luminescence; Intermolecular force; Raman spectroscopy; Crystallography; Tris; Chemistry; Emission spectrum; Ambient pressure; Spectroscopy; Analytical Chemistry (journal); Materials science; Spectral line; Molecule; Optics; Organic chemistry; Optoelectronics","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007713914,0.0003481611,0.000469463,0.00008346924,0.0001783838,0.0002624067,0.0003921543,0.00009518219,0.002828016],"category_scores_gemma":[0.0002607984,0.0003094038,0.0001769709,0.0002425769,0.00006186554,0.0001056089,0.00008672891,0.0005959701,0.000009927192],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008628879,"about_ca_system_score_gemma":0.00009341541,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006400751,"about_ca_topic_score_gemma":2.365935e-7,"domain_scores_codex":[0.9980783,0.0001136311,0.000569385,0.0004783809,0.0003041149,0.0004562051],"domain_scores_gemma":[0.9986443,0.00006953379,0.000240436,0.0004270535,0.00008940666,0.0005292734],"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":[0.0001429633,0.0001065129,0.000580971,0.0001783971,0.00007690652,0.00007122623,0.0001132218,0.0003068759,0.9925516,3.746314e-7,0.0004544293,0.005416567],"study_design_scores_gemma":[0.006244174,0.0000489305,0.0008359866,0.0008391318,0.0004635489,0.0004025482,0.0005790497,0.02249796,0.8448256,0.000007214649,0.1222917,0.0009642314],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9927384,0.0008777881,0.0001529433,0.0003523014,0.00004785537,0.00006466996,0.00001938192,0.00004224871,0.005704408],"genre_scores_gemma":[0.994397,0.00002284011,0.0002868765,0.0001377852,0.0004787663,0.000002105009,0.00001177153,0.00007113628,0.004591725],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.147726,"threshold_uncertainty_score":0.9999358,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01051383622141676,"score_gpt":0.2114396235755346,"score_spread":0.2009257873541178,"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."}}