{"id":"W2321144071","doi":"10.1142/9781848162648_0006","title":"MSDASH: MASS SPECTROMETRY DATABASE AND SEARCH","year":2008,"lang":"en","type":"article","venue":"Computational Systems Bioinformatics","topic":"Mass Spectrometry Techniques and Applications","field":"Chemistry","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Computer science; Mass spectrometry; Ion-mobility spectrometry–mass spectrometry; Database; Information retrieval; Chemistry; Selected reaction monitoring; Chromatography; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001462528,0.0001530949,0.0001918794,0.0001522743,0.0003195295,0.00007250558,0.0001928019,0.00007915041,0.0004060697],"category_scores_gemma":[0.00002096229,0.0001473856,0.00004142723,0.0003063315,0.0001257333,0.0001972183,0.00008615998,0.0001881878,0.00008262401],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008310147,"about_ca_system_score_gemma":0.00006453086,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003329819,"about_ca_topic_score_gemma":2.405479e-7,"domain_scores_codex":[0.9987502,0.000009505546,0.0004333539,0.0001600582,0.0004124499,0.0002344007],"domain_scores_gemma":[0.9992119,0.0001394996,0.0001246031,0.0002768034,0.0001070472,0.0001401195],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005394792,0.0005022603,0.02521035,0.004321577,0.0003999743,0.00009670128,0.002032776,0.01137361,0.02373444,0.8829626,0.04554155,0.003770178],"study_design_scores_gemma":[0.000877435,0.00006178855,0.00180845,0.0001729389,0.00002166329,0.00122345,0.000951962,0.9672469,0.003496361,0.004306467,0.01912817,0.0007043349],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1070618,0.001002402,0.683194,0.0003792027,0.0001282721,0.0004902708,0.0006138048,0.0007792322,0.206351],"genre_scores_gemma":[0.8104091,0.0001582796,0.1881329,0.0000445368,0.0001473041,0.0000340669,0.0003915194,0.00001754729,0.0006648385],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9558734,"threshold_uncertainty_score":0.6010208,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02676873766256476,"score_gpt":0.2643204686463995,"score_spread":0.2375517309838348,"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."}}