{"id":"W2161135116","doi":"10.1002/rcm.903","title":"Protein‐metal ion interactions, stoichiometries and relative affinities determined by on‐line size exclusion gel filtration mass spectrometry","year":2003,"lang":"en","type":"article","venue":"Rapid Communications in Mass Spectrometry","topic":"Mass Spectrometry Techniques and Applications","field":"Chemistry","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of General Medical Sciences; National Institutes of Health; National Institute of Diabetes and Digestive and Kidney Diseases; Ministère de l'Économie, de la Science et de l'Innovation - Québec","keywords":"Chemistry; Size-exclusion chromatography; Mass spectrometry; Stoichiometry; Metal; Chromatography; Metal ions in aqueous solution; Electrospray; Affinities; Analytical Chemistry (journal); Physical chemistry; Biochemistry; 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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008251411,0.0006133551,0.0006692704,0.001544637,0.000783235,0.0002320134,0.001128491,0.0003338935,0.004229675],"category_scores_gemma":[0.001402253,0.0006586302,0.0002011672,0.003422139,0.0004492599,0.0006548416,0.0002719387,0.001609021,0.00003839538],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008025107,"about_ca_system_score_gemma":0.0001029029,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000502666,"about_ca_topic_score_gemma":0.00004196267,"domain_scores_codex":[0.9964494,0.0003631033,0.00107759,0.0008604046,0.0005798403,0.0006697157],"domain_scores_gemma":[0.9945629,0.001853541,0.0005884024,0.002651702,0.0001518927,0.0001916199],"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":[0.00009217601,0.0009733585,0.002074472,0.00009214443,0.0001296625,0.000004409503,0.000186937,0.000007257441,0.8269928,0.1675139,0.0003971655,0.001535795],"study_design_scores_gemma":[0.002630481,0.0009329302,0.001671896,0.0004324651,0.0001577889,0.00009786681,0.002427489,0.002179538,0.8380737,0.1191508,0.03042933,0.001815758],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6373445,0.007125153,0.03450179,0.005793946,0.0002159804,0.002140877,0.000567526,0.00129641,0.3110138],"genre_scores_gemma":[0.8593133,0.002778088,0.1338304,0.0000815109,0.0000737985,0.000619643,0.0002584494,0.00008468455,0.002960071],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3080537,"threshold_uncertainty_score":0.9995865,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02441810116395128,"score_gpt":0.2895404054519072,"score_spread":0.265122304287956,"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."}}