{"id":"W2140384109","doi":"10.1021/ac101524v","title":"Deconvoluting Topography and Spatial Physiological Activity of Live Macrophage Cells by Scanning Electrochemical Microscopy in Constant-Distance Mode","year":2010,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Electrochemical Analysis and Applications","field":"Chemistry","cited_by":70,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Chemistry; Scanning electrochemical microscopy; Biophysics; Microscopy; Organelle; Reactive oxygen species; Amperometry; Constant current; Constant (computer programming); Nucleus; Electrochemistry; Redox; Analytical Chemistry (journal); Current (fluid); Nanotechnology; Electrode; Cell biology; Biochemistry; Optics; Chromatography; Inorganic chemistry; Materials science","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":[0.0001766594,0.0002693415,0.0002644372,0.0002026055,0.0001190731,0.0002519202,0.0002381715,0.0003265837,0.0002833785],"category_scores_gemma":[0.0002697565,0.0001562727,0.0001144288,0.0001680062,0.0002304329,0.000251102,0.0001971899,0.000356723,0.000160339],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001264549,"about_ca_system_score_gemma":0.0001420096,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003970689,"about_ca_topic_score_gemma":0.0006535262,"domain_scores_codex":[0.999904,0.00001062082,0.000006285812,0.00002153611,0.00004217727,0.00001523973],"domain_scores_gemma":[0.9998288,0.00005054905,0.00002977782,0.00002840926,0.00004903238,0.00001344364],"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":[0.00001137973,0.000002685947,0.0002394793,0.00001382485,0.000001370788,0.00002558978,0.00001669965,0.00004319769,0.9981508,0.00002817675,0.000008316284,0.001458411],"study_design_scores_gemma":[0.000002976258,0.0000592441,0.005784241,0.000002157865,0.00000760318,0.000175267,0.00005461514,0.003574913,0.9897224,0.00007271286,0.00053826,0.000005591539],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.9718583,0.0005333508,0.02674295,0.00006501838,0.0000195075,0.00001359762,0.000151889,0.0001155856,0.0004997526],"genre_scores_gemma":[0.966933,0.0007226673,0.03127596,0.00005714035,0.00001475486,0.00003311574,0.0001496141,0.00002679356,0.0007868767],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.0003970689,"threshold_uncertainty_score":0.0009480119,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004582936426813333,"score_gpt":0.2480625424662759,"score_spread":0.2434796060394626,"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."}}