{"id":"W4248088080","doi":"10.1149/ma2009-01/41/1407","title":"Scanning Electrochemical Microscopy Approach Curves Numerically Simulated for Ring Microelectrodes in Pure Negative and Positive Feedback Mode","year":2009,"lang":"en","type":"article","venue":"ECS Meeting Abstracts","topic":"Electrochemical Analysis and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Microelectrode; Scanning electrochemical microscopy; Materials science; Electrochemistry; Microscopy; Ring (chemistry); Mode (computer interface); Negative feedback; Scanning probe microscopy; Analytical Chemistry (journal); Nanotechnology; Biological system; Chemistry; Optics; Electrode; Physics; Chromatography; Computer science; Physical chemistry; Voltage; Biology; Organic chemistry","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000178438,0.0003018037,0.0004195742,0.0000623859,0.0001618661,0.00008162332,0.0002128975,0.0001845533,0.000004612544],"category_scores_gemma":[0.0003167597,0.0003058325,0.0001132951,0.0003306052,0.00006635347,0.00009713651,0.0000297293,0.0005281168,0.000002068459],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001241921,"about_ca_system_score_gemma":0.00005095263,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006903624,"about_ca_topic_score_gemma":0.000005047716,"domain_scores_codex":[0.9980285,0.00001760915,0.0005001212,0.0006378331,0.0001645712,0.0006513725],"domain_scores_gemma":[0.9990183,0.0003588224,0.000180837,0.0001879136,0.0001082597,0.000145866],"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":[0.00008289044,0.0002014061,0.0001539228,0.00009496317,0.00004500798,0.000001453827,0.0001781548,0.002002134,0.9969029,0.00001394532,0.00009844184,0.0002248009],"study_design_scores_gemma":[0.0005330235,0.00004008074,0.0003407632,0.0004164429,0.00006360407,0.00001194193,0.00005789782,0.01813279,0.9788665,0.001177106,0.00003380471,0.0003260802],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9849646,0.00108551,0.0003050577,0.000677889,0.000003045593,0.0002032621,0.00001527993,0.00009112374,0.01265423],"genre_scores_gemma":[0.9888361,0.0001125741,0.01032287,0.0002969538,0.00009414355,0.00002980101,0.0001918709,0.00003011319,0.00008556541],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01803642,"threshold_uncertainty_score":0.9999394,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007429777834812956,"score_gpt":0.2630636026104348,"score_spread":0.2556338247756218,"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."}}