{"id":"W2043991905","doi":"10.1007/s13361-010-0032-5","title":"Quantifying Protein-Fatty Acid Interactions Using Electrospray Ionization Mass Spectrometry","year":2011,"lang":"en","type":"article","venue":"Journal of the American Society for Mass Spectrometry","topic":"Mass Spectrometry Techniques and Applications","field":"Chemistry","cited_by":63,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Glycomics Centre; University of Alberta","funders":"","keywords":"Chemistry; Electrospray ionization; Mass spectrometry; Protein mass spectrometry; Chromatography; Extractive electrospray ionization; Electrospray; Sample preparation in mass spectrometry; Tandem mass spectrometry; Proteomics; Desorption electrospray ionization; Ionization; Chemical ionization; Biochemistry; Organic chemistry; Ion","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008257622,0.00129553,0.0006873495,0.0007119988,0.0004364561,0.000758951,0.0007946823,0.00092376,0.001034472],"category_scores_gemma":[0.0009324619,0.0003178868,0.0004393478,0.0008103213,0.0004053537,0.0006375949,0.0007213813,0.001035731,0.0007309226],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006818121,"about_ca_system_score_gemma":0.0004028364,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007001644,"about_ca_topic_score_gemma":0.001009062,"domain_scores_codex":[0.998693,0.0002130069,0.00008764316,0.000354617,0.0005472049,0.0001045482],"domain_scores_gemma":[0.9993712,0.0002156958,0.0001238934,0.00003976793,0.0001800564,0.00006946261],"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":[0.00005119107,0.00001902081,0.0003043815,0.00005551928,0.00001943468,0.00002730279,0.00001624668,0.00009737342,0.9972861,0.00004314718,0.00004252392,0.002037746],"study_design_scores_gemma":[0.000008904152,0.0001385901,0.002704964,0.00001137931,0.00002149867,0.0001856651,0.00002811321,0.003746837,0.9910285,0.0001175785,0.001989975,0.00001805451],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7685578,0.009290759,0.214209,0.000301244,0.0001574384,0.0004590734,0.001923793,0.001821718,0.003279334],"genre_scores_gemma":[0.7799624,0.01081192,0.1997719,0.0005392976,0.00007089897,0.001032657,0.002786726,0.0002269829,0.004797191],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00129553,"threshold_uncertainty_score":0.004946947,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04051503741328772,"score_gpt":0.3049148918837241,"score_spread":0.2643998544704364,"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."}}