{"id":"W2949191000","doi":"10.1002/celc.201900702","title":"Bottom‐Up Characterization and Self‐Assembly of Electrogenerated Chemiluminescence Active Ruthenium Nanospheres","year":2019,"lang":"en","type":"article","venue":"ChemElectroChem","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Fonds de recherche du Québec – Nature et technologies","keywords":"Ruthenium; Luminophore; Copolymer; ROMP; Materials science; Chemiluminescence; Bipyridine; Polymerization; Polymer; Characterization (materials science); Self-assembly; Nanotechnology; Functional polymers; Polymer chemistry; Metathesis; Luminescence; Chemistry; Organic chemistry; Catalysis","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":[0.0001970132,0.0002467984,0.0001662289,0.0002534757,0.0001065243,0.0002626254,0.0002311132,0.0002298867,0.0006567164],"category_scores_gemma":[0.0002861122,0.0001524889,0.0001712847,0.0001326642,0.0001585118,0.000217471,0.0001444056,0.0003387778,0.0003630136],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001943158,"about_ca_system_score_gemma":0.00008383312,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004154807,"about_ca_topic_score_gemma":0.0004918524,"domain_scores_codex":[0.9998463,0.00001489253,0.000007984658,0.00003336944,0.0000699251,0.00002743356],"domain_scores_gemma":[0.9998579,0.00003792933,0.0000271107,0.00001770592,0.00004322579,0.00001612398],"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":[0.000007529506,0.000005312857,0.00003525976,0.000007320362,0.000001359865,0.00001102415,0.00001163631,0.00003674135,0.9993454,0.00002432187,0.0000161824,0.000498093],"study_design_scores_gemma":[9.838625e-7,0.00001863894,0.0003556019,5.784343e-7,0.000001849294,0.00001291457,0.00000402418,0.0005065522,0.9988581,0.00000523756,0.0002342523,0.000001235168],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9795212,0.0004984395,0.01753489,0.00004843592,0.00001851044,0.00004699744,0.0003202596,0.0002588214,0.001752462],"genre_scores_gemma":[0.988309,0.0002237614,0.008913695,0.00002462865,0.00000546929,0.00004577254,0.0003703072,0.0000507267,0.002056671],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006567164,"threshold_uncertainty_score":0.002196968,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003376457167420357,"score_gpt":0.2199553318258212,"score_spread":0.2165788746584008,"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."}}