{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001863017,0.001326676,0.0007192434,0.002686118,0.0005746098,0.0008868339,0.0008218071,0.0009026784,0.003441625],"category_scores_gemma":[0.0007050561,0.0005247112,0.0009377805,0.000933224,0.0005238946,0.0007724488,0.0006838519,0.001625748,0.001420938],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006504029,"about_ca_system_score_gemma":0.0004137557,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007639555,"about_ca_topic_score_gemma":0.0007782477,"domain_scores_codex":[0.9986869,0.0001802941,0.0001630484,0.0003998806,0.0004224052,0.0001474345],"domain_scores_gemma":[0.9991387,0.0001722893,0.0002275069,0.0001687192,0.0001866024,0.0001061411],"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":[0.0006766435,0.0001181457,0.000943694,0.0001646064,0.00005650705,0.00008960215,0.00005250532,0.0001692907,0.9901612,0.0003074388,0.000279891,0.006980453],"study_design_scores_gemma":[0.0000824395,0.0007316492,0.01009342,0.00005990141,0.0001645614,0.001101072,0.00006859248,0.003625943,0.9780771,0.0005002596,0.005413082,0.00008205649],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6464708,0.006927897,0.3127261,0.00112009,0.0006349401,0.001293842,0.01952609,0.005774899,0.005525356],"genre_scores_gemma":[0.5088713,0.008319497,0.446308,0.0008304274,0.0001614209,0.004609084,0.01472973,0.002893908,0.0132767],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003441625,"threshold_uncertainty_score":0.01151341,"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."}}