{"id":"W4385970881","doi":"10.1021/acs.jproteome.3c00363","title":"Mouse Model of Fragile X Syndrome Analyzed by Quantitative Proteomics: A Comparison of Methods","year":2023,"lang":"en","type":"article","venue":"Journal of Proteome Research","topic":"Genetics and Neurodevelopmental Disorders","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hotchkiss Brain Institute; Alberta Children's Hospital; University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Government of Canada; Canarie","keywords":"Proteomics; Proteome; Quantitative proteomics; Computational biology; Tandem mass tag; Neuroscience; Computer science; Biology; Chemistry; Bioinformatics; Gene; Genetics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002472003,0.0001153749,0.000387937,0.0003704817,0.00005838823,0.00001330204,0.0004109114,0.000117455,0.00001151987],"category_scores_gemma":[0.0005326422,0.00010068,0.0001465603,0.0005235211,0.0001941791,0.000006939084,0.0002206548,0.0003193416,0.00000351366],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001899419,"about_ca_system_score_gemma":0.0002546533,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001233525,"about_ca_topic_score_gemma":0.000001792721,"domain_scores_codex":[0.9979072,0.0004122209,0.0006675533,0.0001954787,0.0005221026,0.0002954185],"domain_scores_gemma":[0.9985513,0.00006223783,0.0003857659,0.0001913083,0.0007022606,0.0001070959],"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":[0.0002828144,0.0001890646,0.0004172577,0.00011826,0.0001214145,0.00000223145,0.000245068,0.00270243,0.9938954,0.0000179095,0.001663704,0.000344475],"study_design_scores_gemma":[0.000616122,0.001679998,0.00072234,0.00004172758,0.000009860811,0.00000653025,0.0005932105,0.009221459,0.9864245,0.0004290332,0.0001569321,0.00009826315],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9869666,0.0005220353,0.01177188,0.00012822,0.00002131318,0.0004554672,0.00005455253,0.000002444356,0.00007744699],"genre_scores_gemma":[0.9250169,0.0005072639,0.07400089,0.000005119062,0.000005295669,0.00002653138,0.0000140897,0.00002390156,0.000399942],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06222901,"threshold_uncertainty_score":0.4105612,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.150660077565991,"score_gpt":0.4745298250672146,"score_spread":0.3238697475012235,"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."}}