{"id":"W4282567167","doi":"10.1242/dmm.049342","title":"Natural history of a mouse model of X-linked myotubular myopathy","year":2022,"lang":"en","type":"article","venue":"Disease Models & Mechanisms","topic":"Muscle Physiology and Disorders","field":"Biochemistry, Genetics and Molecular Biology","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Research Chairs; Hospital for Sick Children; University of Toronto","funders":"National Institute of Arthritis and Musculoskeletal and Skin Diseases; Natural Sciences and Engineering Research Council of Canada; Office of Extramural Research, National Institutes of Health; Canadian Institutes of Health Research; Myotubular Trust","keywords":"Biology; Phenotype; Transcriptome; Disease; Genetics; Myocyte; Gene; Knockout mouse; Skeletal muscle; Bioinformatics; Gene expression; Pathology; Endocrinology; Medicine","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":[0.000125721,0.0001546117,0.0002028286,0.00006041754,0.00005795454,0.000001218019,0.0002953105,0.00006022029,0.00005604621],"category_scores_gemma":[0.00001921964,0.0001691393,0.0002112326,0.00004308731,0.0000819525,0.000006270391,0.0002631514,0.0001107069,7.371073e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004228267,"about_ca_system_score_gemma":0.0003360923,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001690296,"about_ca_topic_score_gemma":0.00000177483,"domain_scores_codex":[0.9989089,0.00009162745,0.000236296,0.0003421196,0.0002225287,0.0001985492],"domain_scores_gemma":[0.9992066,0.000005064313,0.0001411046,0.0004668724,0.00007482751,0.0001055502],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0008183703,0.0002555594,0.000004690097,0.00004266289,0.00004336501,0.000001251406,0.0001435283,0.1392285,0.8443379,0.01449795,0.0005374161,0.00008878729],"study_design_scores_gemma":[0.001764593,0.0005586697,0.00003320925,0.000008819316,0.0001375487,0.000001023088,0.0002830296,0.7610663,0.1319291,0.1033523,0.0003509556,0.0005144411],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.951597,0.002943253,0.04446715,0.00003557508,0.0002037207,0.000218474,0.0002685734,0.00001674036,0.0002494865],"genre_scores_gemma":[0.9968383,0.00005258931,0.0007994343,0.000451325,0.00001558369,0.00009281301,0.0003494261,0.00002734106,0.001373222],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7124088,"threshold_uncertainty_score":0.6897302,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01459923055799332,"score_gpt":0.2084070055127868,"score_spread":0.1938077749547935,"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."}}