{"id":"W2023951503","doi":"10.1021/ac0709347","title":"Method for Identifying Nonspecific Protein−Protein Interactions in Nanoelectrospray Ionization Mass Spectrometry","year":2007,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Mass Spectrometry Techniques and Applications","field":"Chemistry","cited_by":55,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta Glycomics Centre","keywords":"Chemistry; Electrospray ionization; Mass spectrometry; Monomer; Molecule; Ion; Adduct; Chromatography; Biophysics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001543374,0.001255621,0.0006666092,0.001517211,0.0006639162,0.000678162,0.001349085,0.0009675624,0.00227417],"category_scores_gemma":[0.001558482,0.000605061,0.0004007566,0.0007398944,0.0006371834,0.0007115025,0.0009437078,0.001703049,0.002279615],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004763542,"about_ca_system_score_gemma":0.0007214521,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003917254,"about_ca_topic_score_gemma":0.001005247,"domain_scores_codex":[0.9977998,0.0003080326,0.0001249896,0.0005279935,0.001148254,0.0000908798],"domain_scores_gemma":[0.9989506,0.0003306197,0.0001533207,0.0002071718,0.0002953811,0.00006298715],"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":[0.00004429311,0.0000500912,0.0004296769,0.0001670467,0.00002136525,0.00008918777,0.00004896202,0.00006234718,0.9855821,0.0008057225,0.0003606279,0.01233868],"study_design_scores_gemma":[0.0000278083,0.0002095322,0.002049104,0.00004146523,0.00003638419,0.0008176728,0.00003381307,0.005004367,0.9768921,0.0005193399,0.01433946,0.00002904803],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06489482,0.003000336,0.9239914,0.0002323751,0.0003146718,0.0009041847,0.0005174861,0.001891449,0.004253373],"genre_scores_gemma":[0.1082725,0.003821612,0.8730699,0.0004858999,0.00007730971,0.002813671,0.001175625,0.0003586012,0.009924871],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00227417,"threshold_uncertainty_score":0.00816226,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02655003675371614,"score_gpt":0.3446077498656163,"score_spread":0.3180577131119001,"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."}}