{"id":"W4244548463","doi":"10.1016/b978-0-444-59482-2.00011-7","title":"Electrochemical techniques","year":2020,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Electrochemical Analysis and Applications","field":"Chemistry","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"","keywords":"Analyte; Miniaturization; Inductively coupled plasma mass spectrometry; Inductively coupled plasma; Materials science; Dissolution; Electrochemistry; Analytical Chemistry (journal); Mass spectrometry; Electrode; Electroanalytical method; Chemistry; Nanotechnology; Chromatography; Potentiometric titration; Plasma","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006129398,0.001983282,0.001519327,0.003075703,0.001030294,0.001934909,0.002252399,0.001772666,0.09704217],"category_scores_gemma":[0.0008317659,0.001151808,0.0007785707,0.003158879,0.0005745915,0.001926209,0.001883337,0.00278598,0.1042386],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006169813,"about_ca_system_score_gemma":0.0007120025,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001053394,"about_ca_topic_score_gemma":0.002425672,"domain_scores_codex":[0.9987889,0.00006191786,0.00005178081,0.0002456885,0.0007907359,0.00006097211],"domain_scores_gemma":[0.9997306,0.00005706068,0.00001241862,0.00006267947,0.0001218098,0.00001540952],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006880201,0.000107687,0.0001701566,0.001884237,0.00003813115,0.0003641822,0.000267872,0.0003900597,0.1327746,0.01712661,0.1457672,0.7010404],"study_design_scores_gemma":[0.00001059667,0.00004507221,0.0003863193,0.000184414,0.00002470929,0.001329934,0.00005387337,0.0005070078,0.06349771,0.003118426,0.9308148,0.00002703926],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.00455411,0.06870742,0.2114028,0.00149994,0.003616268,0.0004165434,0.003184544,0.006754748,0.6998636],"genre_scores_gemma":[0.0109985,0.02869366,0.04757788,0.0008337985,0.0003489924,0.000364208,0.003064628,0.0007732131,0.907345],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.09704217,"threshold_uncertainty_score":0.3246384,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009028750671682694,"score_gpt":0.2267453566801908,"score_spread":0.2177166060085081,"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."}}