{"id":"W2510001570","doi":"10.1021/acs.jpcc.6b06904","title":"Structural Insight into Electrogenerated Chemiluminescence of Para-Substituted Aryl–Triazole–Thienyl Compounds","year":2016,"lang":"en","type":"article","venue":"The Journal of Physical Chemistry C","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; Western University","funders":"Natural Sciences and Engineering Research Council of Canada; Western University; China Scholarship Council; Canada Foundation for Innovation; Ontario Innovation Trust","keywords":"Thiophene; Ammonium persulfate; Chemistry; Photochemistry; Monomer; Aryl; Electrochemistry; Excited state; Ligand (biochemistry); Combinatorial chemistry; Polymer; Organic chemistry; Physical chemistry; Alkyl","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":[0.00006266375,0.0001441194,0.00005950555,0.0001170585,0.00005304791,0.0001232155,0.0001759298,0.0002097553,0.001390226],"category_scores_gemma":[0.00006875481,0.00008408708,0.0001185336,0.00006585554,0.0001164306,0.0001710519,0.00007919625,0.0003268609,0.000267754],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001845316,"about_ca_system_score_gemma":0.0001141465,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003704394,"about_ca_topic_score_gemma":0.0004953997,"domain_scores_codex":[0.9999772,0.000003835019,0.000001739277,0.000003982582,0.000005716532,0.000007402562],"domain_scores_gemma":[0.999971,0.000008296167,0.000008374641,0.000003185404,0.00000437196,0.000004709963],"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":[0.00003912137,0.00001343907,0.0001050444,0.00003619785,0.000002434153,0.0001246832,0.00001703223,0.0001835924,0.9980185,0.0003734687,0.00001522277,0.001071337],"study_design_scores_gemma":[0.00002229692,0.0004480073,0.002532155,0.000007354722,0.00001233986,0.0003990417,0.00003932356,0.004049598,0.9899756,0.0001754204,0.002331193,0.00000755786],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9915411,0.0008506469,0.005163257,0.0001119334,0.000008643058,0.00001765962,0.00009657974,0.0000404382,0.002169762],"genre_scores_gemma":[0.9949705,0.0006702776,0.002922971,0.00005090348,0.000003303345,0.00001303638,0.0001105902,0.000007112085,0.001251323],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001390226,"threshold_uncertainty_score":0.004650772,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009352160020952146,"score_gpt":0.2623031842614816,"score_spread":0.2529510242405295,"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."}}