{"id":"W4400098655","doi":"10.22541/au.171946406.66273431/v1","title":"Filling the Gaps in Peptide Maps with a Platform Assay for Top-Down Characterization of Purified Protein Samples","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"AbCellera (Canada)","funders":"","keywords":"Fragmentation (computing); Chemistry; Peptide; Electron-transfer dissociation; Chromatography; Computer science; Mass spectrometry; Biochemistry; Tandem mass spectrometry","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":[0.001939878,0.001563919,0.001121136,0.001326501,0.0008360759,0.001416093,0.0008539277,0.001022785,0.003868964],"category_scores_gemma":[0.002224897,0.0005697879,0.0005910923,0.001162738,0.0006132588,0.001291854,0.001508255,0.001511891,0.002145749],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005403421,"about_ca_system_score_gemma":0.0008127108,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005512113,"about_ca_topic_score_gemma":0.001410699,"domain_scores_codex":[0.9982144,0.0002009947,0.0001685564,0.0006691213,0.0005655608,0.0001814891],"domain_scores_gemma":[0.9987471,0.0004196041,0.0001679298,0.0003090808,0.0002325325,0.0001237487],"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":[0.0001654382,0.00005810522,0.000516095,0.0001269072,0.00002592166,0.000102483,0.00005491647,0.0001918108,0.9871656,0.0003735869,0.0003783452,0.01084091],"study_design_scores_gemma":[0.00001600772,0.0001336767,0.003023258,0.00002564788,0.00003761864,0.0003229779,0.00004007922,0.005965607,0.982215,0.0004233407,0.007777001,0.00001983547],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.4292119,0.002454693,0.5537686,0.0004764089,0.000261272,0.000425858,0.004064701,0.005511124,0.003825458],"genre_scores_gemma":[0.3098129,0.002598614,0.6650683,0.00056872,0.00005735455,0.001519203,0.01249394,0.001500634,0.006380291],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003868964,"threshold_uncertainty_score":0.01294297,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02236004123441961,"score_gpt":0.269847326541055,"score_spread":0.2474872853066354,"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."}}