{"id":"W2054724315","doi":"10.1021/ja056232l","title":"Kinetic Capillary Electrophoresis (KCE):  A Conceptual Platform for Kinetic Homogeneous Affinity Methods","year":2005,"lang":"en","type":"article","venue":"Journal of the American Chemical Society","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":149,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Homogeneous; Capillary electrophoresis; Boundary (topology); Toolbox; Medicine; Computational biology; Chromatography; Computer science; Statistical physics; Chemistry; Physics; Mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003361712,0.0001973978,0.0003895746,0.00001693619,0.00009841944,0.00001738331,0.0004203128,0.0001189607,0.000002164463],"category_scores_gemma":[0.0002147786,0.0001286884,0.0009543599,0.000215538,0.0006301136,0.000004506303,0.0001222908,0.0002562862,3.059002e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009106642,"about_ca_system_score_gemma":0.00008885409,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000789581,"about_ca_topic_score_gemma":0.000002344081,"domain_scores_codex":[0.9987842,0.00006896423,0.0004103965,0.0002215157,0.0002025455,0.0003124216],"domain_scores_gemma":[0.9986411,0.00009326564,0.000634626,0.0003011738,0.0002240307,0.0001057633],"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":[0.0001477917,0.00006828303,0.00004919565,0.000004838688,0.0001934704,5.312154e-7,0.00003908792,0.000034694,0.9750887,0.00000593965,0.007332117,0.01703531],"study_design_scores_gemma":[0.0003238208,0.0004058675,0.00007941445,0.00001046623,0.0001589011,0.0001290582,0.0001365937,0.0001466225,0.9573777,0.0001048816,0.04094898,0.000177715],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9883452,0.001080454,0.009485087,0.0008614564,0.00004430231,0.0001163384,0.00001139388,0.00001254738,0.00004322864],"genre_scores_gemma":[0.8018181,0.0007120376,0.1953733,0.001364182,0.0006385644,0.000003757156,0.000006088233,0.0000207424,0.00006324899],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1865271,"threshold_uncertainty_score":0.5247761,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01261834156982589,"score_gpt":0.3056054518158149,"score_spread":0.2929871102459891,"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."}}