{"id":"W4239641275","doi":"10.1093/nar/gkn778","title":"Mouse Phenome Database","year":2008,"lang":"en","type":"article","venue":"Nucleic Acids Research","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":87,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Center for Research Resources; National Institute of General Medical Sciences; National Human Genome Research Institute; National Institute of Mental Health; National Institute on Aging; Pfizer; Natural Sciences and Engineering Research Council of Canada; National Science Foundation; Takeda Oncology; National Institutes of Health; National Institute on Deafness and Other Communication Disorders; Centre National de la Recherche Scientifique; Hebrew University of Jerusalem; American Liver Foundation; Wellcome Trust; National Heart, Lung, and Blood Institute; National Alopecia Areata Foundation; Japan Heart Foundation; National Health and Medical Research Council; AstraZeneca; American Health Assistance Foundation; Bristol-Myers Squibb; GlaxoSmithKline; Ellison Medical Foundation; American Heart Association; Deutsche Forschungsgemeinschaft; Andrew W. Mellon Foundation; U.S. Department of Veterans Affairs; U.S. Department of Defense; Medical Research Council; Medical Research Council Canada; March of Dimes Foundation","keywords":"Phenome; Biology; In silico; Phenotype; Database; Trait; Computational biology; Bioinformatics; Genetics; Computer science; Gene","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005918839,0.0001145102,0.0001096656,0.00007792074,0.0003215238,0.00002885791,0.0004269484,0.000146677,0.0001759275],"category_scores_gemma":[0.00007423641,0.0001057369,0.00005856546,0.0001723041,0.0003051459,0.000006532227,0.0004413638,0.0003143049,0.0004006983],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002208724,"about_ca_system_score_gemma":0.0001180534,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002313561,"about_ca_topic_score_gemma":0.000008587986,"domain_scores_codex":[0.9986101,0.00007362504,0.0001889585,0.000273712,0.0003410124,0.0005125435],"domain_scores_gemma":[0.9989526,0.00001657747,0.00002835585,0.0006770402,0.0001493449,0.000176104],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002269801,0.0001996754,0.003007101,0.00005101329,0.00008935572,0.00004192996,0.0004415991,0.00005982882,0.7149985,0.001368428,0.2684291,0.01108641],"study_design_scores_gemma":[0.001482811,0.0006696667,0.002058856,0.000017402,0.000006575745,0.0001457359,0.0003659975,0.001789604,0.07476554,0.0004345704,0.9177185,0.0005447399],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9713509,0.0006009106,0.001563785,0.0002057862,0.00008523867,0.0002262514,0.00004825201,0.00002072157,0.02589816],"genre_scores_gemma":[0.9866453,0.0008322936,0.002206768,0.0002566372,0.0004749377,0.00001998805,0.0002125909,0.00003174479,0.009319688],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6492894,"threshold_uncertainty_score":0.51503,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04916706196582018,"score_gpt":0.3164931353583108,"score_spread":0.2673260733924906,"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."}}