{"id":"W3097177843","doi":"10.1021/acsomega.0c03764","title":"Probing Electronic Communication and Excited-State Dynamics in the Unprecedented Ferrocene-Containing Zinc MB-DIPY","year":2020,"lang":"en","type":"article","venue":"ACS Omega","topic":"Luminescence and Fluorescent Materials","field":"Materials Science","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada; Minnesota Supercomputing Institute, University of Minnesota; Canada Foundation for Innovation; Western Canada Research Grid; Division of Materials Research; University of Manitoba","keywords":"Ferrocene; Excited state; Photochemistry; Chemistry; Zinc; Electron transfer; BODIPY; Singlet state; Ground state; Quenching (fluorescence); Electrochemistry; Materials science; Atomic physics; Fluorescence; Physical chemistry; Electrode; Physics; Optics; Organic chemistry","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006583009,0.0001454243,0.0001931612,0.00004579223,0.000159031,0.0002438019,0.0005311738,0.00005303108,0.00001166048],"category_scores_gemma":[0.0001033926,0.0001114679,0.00001965284,0.0002334337,0.00008573873,0.0003826297,0.0001587078,0.0001623117,0.00004110191],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001106672,"about_ca_system_score_gemma":0.00005002754,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000184011,"about_ca_topic_score_gemma":0.000498933,"domain_scores_codex":[0.9986638,0.0002090488,0.0003020462,0.0002617158,0.0001803407,0.00038298],"domain_scores_gemma":[0.9993999,0.00009222455,0.0001198735,0.0002960642,0.00004096724,0.00005094558],"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":[0.0003179202,0.00009152891,0.02044234,0.0001409759,0.00001394406,0.0000147963,0.01741062,0.00008805233,0.9543926,0.005760612,0.00047464,0.0008519958],"study_design_scores_gemma":[0.0126157,0.002405663,0.07813528,0.00163003,0.0002627026,0.0002739042,0.03568712,0.07836446,0.7563154,0.01665999,0.0136328,0.004016969],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957348,0.0002465101,0.0001111784,0.003163643,0.00006058005,0.0003445046,0.000007788291,0.00007470701,0.0002562644],"genre_scores_gemma":[0.9983379,0.0001946534,0.0001035864,0.001192954,0.00004632786,0.0000368632,0.00004285332,0.00001697033,0.0000279446],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1980772,"threshold_uncertainty_score":0.4545529,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01759143989087623,"score_gpt":0.2468888887556175,"score_spread":0.2292974488647413,"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."}}