{"id":"W4391663514","doi":"10.1149/ma2023-02552654mtgabs","title":"(Invited) Probing the Oxygen Reduction and Hydrazine Oxidation Reactions Using Transient Amperometric Techniques","year":2023,"lang":"en","type":"article","venue":"ECS Meeting Abstracts","topic":"Analytical Chemistry and Sensors","field":"Chemical Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Amperometry; Hydrazine (antidepressant); Transient (computer programming); Oxygen; Reduction (mathematics); Redox; Chemistry; Computer science; Inorganic chemistry; Chromatography; Electrochemistry; Organic chemistry; Electrode; Physical chemistry; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0002597562,0.0004879804,0.0002510178,0.0003018024,0.000191087,0.0005304438,0.0005662282,0.0006626529,0.002677632],"category_scores_gemma":[0.0004339399,0.0001339146,0.0002217174,0.0003036669,0.0003271115,0.0006312263,0.0003755043,0.0006994265,0.001517371],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002777692,"about_ca_system_score_gemma":0.0001443229,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002889814,"about_ca_topic_score_gemma":0.0003172144,"domain_scores_codex":[0.9997602,0.00002823515,0.00001226121,0.00009464409,0.00007470802,0.00002995975],"domain_scores_gemma":[0.9998801,0.00004230218,0.00002197056,0.00001898801,0.00002776894,0.000008910769],"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":[0.00003828644,0.0000117322,0.0001134021,0.0002216337,0.000003754475,0.00005264823,0.00004148074,0.0001047151,0.9894223,0.0006817071,0.0003337714,0.008974543],"study_design_scores_gemma":[0.000004295601,0.00009053778,0.0002859679,0.000006311867,0.000004930344,0.0001010207,0.00001751298,0.0009086844,0.993656,0.0002499721,0.004669691,0.000005132411],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5424057,0.02269353,0.3969752,0.001762128,0.001904177,0.0004369728,0.002887816,0.003563804,0.02737064],"genre_scores_gemma":[0.867175,0.01228904,0.0935523,0.001050912,0.0003645042,0.0003144432,0.001660929,0.0001703661,0.02342242],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002677632,"threshold_uncertainty_score":0.008957505,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02736502062064751,"score_gpt":0.2569064819068878,"score_spread":0.2295414612862403,"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."}}