{"id":"W3144335576","doi":"10.1109/bibm.2010.5706569","title":"Peptide charge state determination of tandem mass spectra from low-resolution collision induced dissociation","year":2010,"lang":"en","type":"article","venue":"","topic":"Mass Spectrometry Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Tandem; Mass spectrum; Tandem mass spectrometry; Collision-induced dissociation; Spectral line; Dissociation (chemistry); Chemistry; Mass spectrometry; Gaussian; False positive paradox; Collision; Atomic physics; Charge (physics); Analytical Chemistry (journal); Physics; Artificial intelligence; Computer science; Materials science; Computational chemistry; Chromatography; Physical chemistry","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":[0.0008091207,0.000409271,0.0004634439,0.001232117,0.0002819797,0.0005877874,0.0005179461,0.0004937184,0.0004048443],"category_scores_gemma":[0.001777604,0.0001637311,0.0003239324,0.0007436054,0.0003885268,0.0008586477,0.0004247716,0.000568755,0.0002819314],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002988099,"about_ca_system_score_gemma":0.0002157564,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003639004,"about_ca_topic_score_gemma":0.0005890785,"domain_scores_codex":[0.9996697,0.0000564789,0.00002088876,0.00009143506,0.0001351519,0.00002641638],"domain_scores_gemma":[0.999318,0.0002529457,0.0001646338,0.00007897402,0.0001543963,0.00003105909],"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":[0.0008679299,0.0001929588,0.02695654,0.0002489595,0.0001111182,0.0002828376,0.000129126,0.01046537,0.677582,0.002538263,0.0006303828,0.2799944],"study_design_scores_gemma":[0.00006071751,0.0004058449,0.05538281,0.00002464284,0.0001204608,0.00228538,0.0001167683,0.46752,0.4623099,0.008836413,0.002804856,0.0001322595],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5916265,0.000898223,0.405403,0.00009852267,0.00002700059,0.00006129558,0.0002314783,0.0006373319,0.001016518],"genre_scores_gemma":[0.8067262,0.0004028681,0.191642,0.00005893033,0.00001490993,0.00003644365,0.0005279384,0.00003539158,0.0005553173],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001232117,"threshold_uncertainty_score":0.004279077,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009437457996897498,"score_gpt":0.2553997765905644,"score_spread":0.2459623185936669,"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."}}