{"id":"W1975489878","doi":"10.1016/j.talanta.2005.06.003","title":"Interpretation of non–Nernstian slopes in graphic analysis of data collected in pH range close to deprotonation of a ligandPart I. A glass electrode potentiometric and polarographic study of Cd–(TAPSO)x–(OH)y and Zn–(TAPSO)x–(OH)y systems","year":2005,"lang":"en","type":"article","venue":"Talanta","topic":"Electrochemical Analysis and Applications","field":"Chemistry","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Crohn's and Colitis Foundation of Canada","keywords":"Chemistry; Deprotonation; Potentiometric titration; Glass electrode; Ligand (biochemistry); Ionic strength; Stability constants of complexes; Methylamine; Hydroxymethyl; Metal; Electrochemistry; Polarography; Electroanalytical method; Zinc; Inorganic chemistry; Metal ions in aqueous solution; Analytical Chemistry (journal); Tris; Electrode; Stereochemistry; Reference electrode; Ion; Physical chemistry; Chromatography; Aqueous solution; Organic chemistry","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.00044471,0.0001848871,0.0008417494,0.002586604,0.0000279099,0.00001833665,0.0003536576,0.0001063415,0.000008255585],"category_scores_gemma":[0.00009317138,0.0001779285,0.00009043946,0.008822083,0.00007326765,0.0001520689,0.0001279993,0.0001487563,1.90496e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003555074,"about_ca_system_score_gemma":0.00003285172,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002023297,"about_ca_topic_score_gemma":0.01044169,"domain_scores_codex":[0.9978104,0.00006599465,0.00105516,0.0004990265,0.0003601819,0.0002092597],"domain_scores_gemma":[0.9984849,0.0001417718,0.0005500535,0.0005787903,0.0001735752,0.00007090485],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0002011946,0.00115143,0.3429285,0.0002943086,0.0007337942,9.371257e-7,0.000810766,0.000122707,0.6514569,0.00002892597,0.000004992829,0.002265572],"study_design_scores_gemma":[0.005631576,0.0007015041,0.5868482,0.0006439275,0.00401673,0.000009776109,0.002590008,0.1485743,0.2502487,0.00007378091,0.00004563081,0.0006158848],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980136,0.0008502207,0.0001887127,0.0000309387,0.000002562135,0.0006227549,0.000185802,0.00001003574,0.00009536956],"genre_scores_gemma":[0.9991238,0.0002848591,0.0001143069,0.000004294527,0.00001007653,0.0001220811,0.0003088074,0.00001284547,0.00001891594],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4012082,"threshold_uncertainty_score":0.7255714,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01099769839134003,"score_gpt":0.2722498898399621,"score_spread":0.2612521914486221,"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."}}