{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006081003,0.0004018078,0.0003544382,0.00008828776,0.0002951701,0.0001150021,0.0006869362,0.0001255118,0.00003227935],"category_scores_gemma":[0.0004512857,0.0003628975,0.0002525524,0.0004837202,0.0002031463,0.00001289262,0.0003186998,0.0004887981,0.00001876555],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008135451,"about_ca_system_score_gemma":0.0001777264,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004602013,"about_ca_topic_score_gemma":0.000001333146,"domain_scores_codex":[0.9977117,0.0001581026,0.0005642831,0.0006227003,0.0004029083,0.0005403082],"domain_scores_gemma":[0.9979888,0.00001737489,0.0004345129,0.0006117047,0.0004417091,0.0005058553],"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":[0.0001689375,0.000106656,0.00005299276,0.000007133804,0.000102422,0.0000540869,0.00006335713,0.000006903046,0.9848071,3.903849e-7,0.01038957,0.004240416],"study_design_scores_gemma":[0.001108058,0.0002337413,0.000101816,0.00004199551,0.00006891788,0.0003442733,0.0001387633,0.0001498915,0.9632313,0.00004948855,0.03405458,0.0004772095],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.960305,0.0008995535,0.03346374,0.0001830302,0.0001027024,0.00007774207,0.00002898154,0.0001070602,0.004832188],"genre_scores_gemma":[0.988301,0.0002200557,0.007469607,0.000336506,0.001598687,0.000002258042,0.0003044903,0.00006975917,0.001697578],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02799606,"threshold_uncertainty_score":0.9998823,"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."}}