{"id":"W2124916866","doi":"10.1021/ac101901x","title":"Synthesis of a Functional Metal-Chelating Polymer and Steps toward Quantitative Mass Cytometry Bioassays","year":2010,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":129,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"National Institute of General Medical Sciences; Natural Sciences and Engineering Research Council of Canada; National Institutes of Health","keywords":"Chemistry; Mass cytometry; Bioassay; Chelation; Metal; Polymer; Chromatography; Inorganic chemistry; Organic chemistry; Biochemistry","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002150763,0.0001791398,0.0002636195,0.00004563738,0.00005414098,0.00001573513,0.00009916542,0.0002617859,0.00003526234],"category_scores_gemma":[0.0005509259,0.0001533358,0.0001642348,0.000193498,0.0003720881,0.000005612661,0.00008497966,0.0002112716,0.000001390663],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006645242,"about_ca_system_score_gemma":0.00003811268,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008825875,"about_ca_topic_score_gemma":0.000002450285,"domain_scores_codex":[0.9989369,0.00001781715,0.000274928,0.0003909581,0.0001829208,0.0001964934],"domain_scores_gemma":[0.9992681,0.00009063285,0.0001270919,0.0002726094,0.0001322333,0.0001093265],"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":[0.00006247748,0.0000423082,0.001763322,0.00003902263,0.0001901327,0.000002589966,0.000004800545,7.885236e-7,0.9968368,0.0002133221,0.00007663143,0.000767807],"study_design_scores_gemma":[0.0001116616,0.00004054616,0.0004858641,0.00001423656,0.0001500969,0.000016479,0.0001483483,0.0006223391,0.9978175,0.0001664685,0.0002366782,0.0001897928],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9896071,0.0001962439,0.004748411,0.0001922712,0.00002483748,0.00004317348,0.00004569481,0.00002819029,0.005114065],"genre_scores_gemma":[0.9924833,0.00004151086,0.006727298,0.0000518018,0.00009873999,0.000004586444,0.00004249345,0.00001587288,0.0005344012],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004579664,"threshold_uncertainty_score":0.6252853,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01665167354015893,"score_gpt":0.2826579421019469,"score_spread":0.2660062685617879,"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."}}