{"id":"W2413867553","doi":"10.1021/acs.analchem.5b01269","title":"High-Speed Scanning Electrochemical Microscopy Method for Substrate Kinetic Determination: Application to Live Cell Imaging in Human Cancer","year":2015,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Electrochemical Analysis and Applications","field":"Chemistry","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Scanning electrochemical microscopy; Chemistry; Cancer cell; Biophysics; Microscopy; Cancer; Electrochemistry; Cell; Substrate (aquarium); Live cell imaging; Nanotechnology; Biochemistry; Optics; Electrode; Materials science; Internal medicine; 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":[0.000680568,0.000509232,0.0003876134,0.0004664588,0.0002348412,0.0003299557,0.0006083208,0.0009242865,0.0008334538],"category_scores_gemma":[0.0004716278,0.0002376756,0.0002472798,0.0004806962,0.0002138394,0.0003711421,0.000278687,0.0005619292,0.0004027257],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003241953,"about_ca_system_score_gemma":0.0003634988,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008143267,"about_ca_topic_score_gemma":0.001433412,"domain_scores_codex":[0.9997405,0.00006250002,0.00001937172,0.00007668361,0.00008142184,0.00001942882],"domain_scores_gemma":[0.9997709,0.00007958167,0.00002854438,0.00004056162,0.00006494424,0.00001530787],"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":[0.0000396154,0.00002188319,0.0005117814,0.0001237032,0.00001065838,0.00005267343,0.00004401012,0.0002969858,0.9820031,0.0003269771,0.0001899252,0.01637877],"study_design_scores_gemma":[0.000008360808,0.0001726779,0.002368805,0.00001042086,0.00002499766,0.0006228749,0.00005191579,0.01499886,0.9768306,0.0002737293,0.004616842,0.00001986108],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2860024,0.01299421,0.6946543,0.0006304294,0.0002272292,0.0002349828,0.0006325894,0.001274226,0.003349532],"genre_scores_gemma":[0.6079957,0.007372744,0.3807108,0.000125727,0.00004204356,0.0002135311,0.0002510134,0.00005560833,0.003232867],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0009242865,"threshold_uncertainty_score":0.003599226,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01304810410457645,"score_gpt":0.3279793361344225,"score_spread":0.314931232029846,"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."}}