{"id":"W2041982827","doi":"10.1021/ac001323g","title":"Nanoliter Solvent Extraction Combined with Microspot MALDI TOF Mass Spectrometry for the Analysis of Hydrophobic Biomolecules","year":2001,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Mass Spectrometry Techniques and Applications","field":"Chemistry","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; University of Alberta","keywords":"Chemistry; Analyte; Mass spectrometry; Chromatography; Extraction (chemistry); Matrix-assisted laser desorption/ionization; Sample preparation; Desorption; Biomolecule; Solvent; Analytical Chemistry (journal); Matrix (chemical analysis); Adsorption; Organic chemistry","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001219998,0.0002296344,0.0003997346,0.00009959474,0.0001150336,0.0000487942,0.0003652998,0.0001587699,0.004969918],"category_scores_gemma":[0.00002633449,0.000164151,0.0004013732,0.001364211,0.000180287,0.00004280844,0.00004052528,0.0002090825,0.000003146906],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001107588,"about_ca_system_score_gemma":0.00003214453,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003422552,"about_ca_topic_score_gemma":0.000006200526,"domain_scores_codex":[0.9985532,0.000004923604,0.0003987568,0.0004176624,0.0002740548,0.0003514494],"domain_scores_gemma":[0.9986377,0.0002109505,0.0001780127,0.0007443923,0.0001217437,0.0001071659],"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":[0.0001858799,0.0002550247,0.002913495,0.00009944189,0.001013885,0.0000076633,0.000008010189,0.00003995284,0.9940653,0.001087595,0.0001856451,0.0001381256],"study_design_scores_gemma":[0.0004221298,0.00004995386,0.0007525945,0.00002244131,0.002021256,0.00001932164,0.00008452561,0.01438956,0.9762974,0.0005800606,0.005108736,0.0002520542],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9592669,0.0001806666,0.01887784,0.001012521,0.000008395884,0.0001706916,0.0001262204,0.000118751,0.02023802],"genre_scores_gemma":[0.9919114,0.00008869038,0.002805249,0.00005074671,0.00006926906,0.00009495499,0.0001658754,0.00002658539,0.004787209],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03264453,"threshold_uncertainty_score":0.9959397,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01055223401349458,"score_gpt":0.272284088229493,"score_spread":0.2617318542159984,"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."}}