{"id":"W2124251007","doi":"10.1002/1097-0231(20010215)15:3<191::aid-rcm209>3.0.co;2-n","title":"On-membrane digestion of ?-casein for determination of phosphorylation sites by matrix-assisted laser desorption/ionization quadrupole/time-of-flight mass spectrometry","year":2001,"lang":"en","type":"article","venue":"Rapid Communications in Mass Spectrometry","topic":"Mass Spectrometry Techniques and Applications","field":"Chemistry","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Chemistry; Mass spectrometry; Mass spectrum; Ion; Protein mass spectrometry; Chromatography; Fragmentation (computing); Tandem mass spectrometry; Analytical Chemistry (journal); Matrix-assisted laser desorption/ionization; Phosphopeptide; Sample preparation in mass spectrometry; Time-of-flight mass spectrometry; Desorption; Electrospray ionization; Peptide; Ionization; Organic chemistry; Biochemistry; Adsorption","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007327863,0.000391661,0.0007225511,0.001420625,0.0001958846,0.0000374964,0.001160652,0.0003828272,0.002176299],"category_scores_gemma":[0.000474571,0.0004479032,0.0002802492,0.003553304,0.0002676338,0.0002779932,0.0001156726,0.0004190469,0.00001137833],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000515684,"about_ca_system_score_gemma":0.0000803693,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000573693,"about_ca_topic_score_gemma":0.00001627854,"domain_scores_codex":[0.9968179,0.000152128,0.00153674,0.0005280871,0.0005490167,0.0004161549],"domain_scores_gemma":[0.9945896,0.001286712,0.001368869,0.002229736,0.0004310264,0.00009411354],"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":[0.0001880924,0.001254362,0.00692971,0.0002614604,0.00006233501,5.287532e-7,0.00007654094,0.00009919681,0.9661105,0.0223575,0.0002026311,0.002457127],"study_design_scores_gemma":[0.001423472,0.0003424079,0.002821315,0.0002348071,0.0001292306,0.0000114779,0.0001876142,0.01972261,0.9575233,0.01653821,0.0005955387,0.000470036],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.728782,0.001895865,0.2509797,0.001032587,0.00005281793,0.001492549,0.0008268597,0.0003468148,0.01459081],"genre_scores_gemma":[0.8441137,0.001870123,0.1513466,0.00001210213,0.00003340552,0.0002676442,0.001752369,0.00006634006,0.0005376882],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1153317,"threshold_uncertainty_score":0.9997973,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01780839046133214,"score_gpt":0.2901253248487128,"score_spread":0.2723169343873806,"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."}}