{"id":"W4392199192","doi":"10.1021/acs.organomet.3c00470","title":"Electrochemical Properties of a Pyridine-Tunable Trisferrocenylborane","year":2024,"lang":"en","type":"article","venue":"Organometallics","topic":"Advanced battery technologies research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University; University of Windsor","funders":"Natural Sciences and Engineering Research Council of Canada; Council of Ontario Universities; Western University; University of Windsor","keywords":"Chemistry; Acetonitrile; Dichloromethane; Ferrocene; Cyclic voltammetry; Redox; Tetrahydrofuran; Electrochemistry; Pyridine; Aqueous solution; Borane; Adduct; Substituent; Bulk electrolysis; Metallocene; Nucleophile; Solvent; Inorganic chemistry; Photochemistry; Organic chemistry; Electrode; Physical chemistry","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":[0.0001690593,0.0002547255,0.0001830677,0.0001605732,0.0001342924,0.0002141512,0.0003071454,0.0003363724,0.001166565],"category_scores_gemma":[0.00032946,0.00009278096,0.00008699051,0.000198585,0.0001522872,0.0001661731,0.0001031997,0.0003045381,0.0002404053],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002428517,"about_ca_system_score_gemma":0.0001772117,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001605879,"about_ca_topic_score_gemma":0.0022568,"domain_scores_codex":[0.999855,0.00001843055,0.000008329291,0.00002705344,0.00006563402,0.00002540156],"domain_scores_gemma":[0.9998838,0.00002861989,0.00002018768,0.000009190049,0.00003827267,0.00001997103],"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":[0.00008327518,0.000009005589,0.0001353226,0.00002891961,0.000002688114,0.00002219931,0.00002254654,0.00004204369,0.9982765,0.00003202621,0.00003597625,0.001309383],"study_design_scores_gemma":[0.000004203343,0.0001173946,0.0009780107,0.000003525008,0.000005466406,0.00007136916,0.00001832071,0.0005579747,0.9976871,0.00001448286,0.0005371567,0.000004951862],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953834,0.00130628,0.001489239,0.00009251953,0.0000221528,0.00001025758,0.0003568431,0.00007810558,0.001261065],"genre_scores_gemma":[0.996326,0.0005514172,0.001482519,0.00003037677,0.000003957986,0.000007614252,0.0002445508,0.00000783024,0.001345824],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001605879,"threshold_uncertainty_score":0.003902495,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01715860142664273,"score_gpt":0.2320079282252879,"score_spread":0.2148493267986452,"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."}}