{"id":"W2092573146","doi":"10.1139/v05-189","title":"Enhancing image quality of scanning electrochemical microscopy by improved probe fabrication and displacement","year":2005,"lang":"en","type":"article","venue":"Canadian Journal of Chemistry","topic":"Electrochemical Analysis and Applications","field":"Chemistry","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; École Polytechnique Fédérale de Lausanne","keywords":"Scanning electrochemical microscopy; Fabrication; Scanning probe microscopy; Electrode; Microscopy; Chemistry; Optics; Resolution (logic); Nanotechnology; Ultramicroelectrode; Materials science; Electrochemistry; Cyclic voltammetry; Artificial intelligence; Computer science; Physics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001986125,0.0001432717,0.0002893053,0.00002719555,0.00008154054,0.00003910903,0.000224199,0.0001141178,0.0002462653],"category_scores_gemma":[0.0001502208,0.0001428989,0.0001101725,0.000121049,0.0001211546,0.00008967261,0.00001394562,0.0003112021,9.553478e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002554409,"about_ca_system_score_gemma":0.000407469,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002672731,"about_ca_topic_score_gemma":0.0002231013,"domain_scores_codex":[0.9987115,0.000007189235,0.0006606493,0.0001865429,0.0001410238,0.0002931279],"domain_scores_gemma":[0.99871,0.00004707288,0.0003966316,0.0001837713,0.0002236844,0.0004388639],"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":[0.00001395718,0.00003118755,0.0006621805,0.0001352414,0.0000487003,3.406649e-7,0.00008075364,2.709465e-7,0.998023,0.000005323615,0.0005936956,0.0004052965],"study_design_scores_gemma":[0.0003018742,0.000007809464,0.00003066171,0.00006585539,0.00004163404,0.00001771861,0.0001048831,0.00007913703,0.9960467,0.00006070811,0.003104697,0.0001382734],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9937841,0.001441902,0.003054853,0.0006044617,0.00000421692,0.00002887084,0.00002376853,0.000005280508,0.001052598],"genre_scores_gemma":[0.9960268,0.00004117072,0.003198604,0.00005654028,0.0001697123,0.000006524556,0.00004251297,0.00001395707,0.0004442496],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002511002,"threshold_uncertainty_score":0.582725,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004565259686425834,"score_gpt":0.2483401415487361,"score_spread":0.2437748818623102,"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."}}