{"id":"W2075754820","doi":"10.1002/chem.201406533","title":"Enhanced Electrochemiluminescence from a Stoichiometric Ruthenium(II)–Iridium(III) Complex Soft Salt","year":2015,"lang":"en","type":"article","venue":"Chemistry - A European Journal","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":68,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke; Western University","funders":"Natural Sciences and Engineering Research Council of Canada; Fonds Québécois de la Recherche sur la Nature et les Technologies; University of St Andrews; Pension Real Estate Association","keywords":"Electrochemiluminescence; Iridium; Ruthenium; Excited state; Salt (chemistry); Electrochemistry; Photochemistry; Luminescence; Chemistry; Infrared spectroscopy; Materials science; Physical chemistry; Electrode; Catalysis; Optoelectronics; Physics; Organic chemistry; Atomic physics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004461518,0.0006642577,0.0005596658,0.0002288481,0.0001554504,0.000580121,0.0006783077,0.0006083545,0.001230286],"category_scores_gemma":[0.0004346036,0.0002994864,0.0002715414,0.0002551093,0.0003330393,0.000548571,0.0005950601,0.0007559597,0.0008514755],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004345157,"about_ca_system_score_gemma":0.0001953412,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002235866,"about_ca_topic_score_gemma":0.0004726586,"domain_scores_codex":[0.9995862,0.00007470934,0.00003642216,0.0001049663,0.0001441692,0.00005348949],"domain_scores_gemma":[0.9997203,0.00006033728,0.00006678856,0.00003630337,0.00005920446,0.00005710168],"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":[0.00002754956,0.000008295561,0.00002788005,0.00003881052,0.000003940232,0.00002625155,0.00001024884,0.00004448829,0.9987821,0.00007923638,0.00004718096,0.0009040681],"study_design_scores_gemma":[0.000006689542,0.00005121896,0.00007432101,0.000001349544,0.000004070675,0.00004427739,0.000002969166,0.0003819428,0.9988959,0.00001423458,0.0005198477,0.000003124848],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9452728,0.001383087,0.047478,0.0002490329,0.0001034688,0.0001248053,0.0003292611,0.0009496568,0.004109914],"genre_scores_gemma":[0.9610765,0.00058063,0.03232875,0.0001203424,0.00003570833,0.00007637454,0.0003908471,0.0001429797,0.005247799],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001230286,"threshold_uncertainty_score":0.00411576,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0205004283705881,"score_gpt":0.2579631564235011,"score_spread":0.237462728052913,"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."}}