{"id":"W3186655313","doi":"10.3390/genes14040854","title":"Retinal Phenotyping of a Murine Model of Lafora Disease","year":2023,"lang":"en","type":"article","venue":"Genes","topic":"Glycogen Storage Diseases and Myoclonus","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Centre for Phenogenomics; Hospital for Sick Children; University of Toronto","funders":"","keywords":"Retinal; Outer nuclear layer; Ex vivo; In vivo; Pathology; Erg; Retinal degeneration; Electroretinography; Retina; Phenotype; Biology; Chemistry; Ophthalmology; Medicine; Neuroscience; Biochemistry; Genetics","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":[0.00005960809,0.0000659203,0.0001713794,0.0000752054,0.00001846872,0.000001468738,0.00004808618,0.00001928332,0.0000538128],"category_scores_gemma":[0.00004837945,0.00005695367,0.0001072652,0.0001664533,0.0000385742,0.00001845324,0.00004448845,0.00002576001,0.00001565888],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006743401,"about_ca_system_score_gemma":0.00009311175,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002473428,"about_ca_topic_score_gemma":0.000001160393,"domain_scores_codex":[0.9994268,0.000006985011,0.0001600794,0.0001148158,0.0001617014,0.0001295531],"domain_scores_gemma":[0.9995059,0.00001175355,0.0000554037,0.0002101004,0.0000889127,0.0001279117],"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":[0.008639082,0.001435434,0.0724432,0.01003926,0.0006847113,0.008226961,0.002190213,0.02748206,0.7102293,0.008967024,0.0122171,0.1374456],"study_design_scores_gemma":[0.008371137,0.0006112053,0.07850061,0.001528213,0.002327421,0.0001884657,0.001489606,0.8070181,0.08430791,0.00620657,0.008547471,0.0009033124],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997526,0.001214412,0.0003798665,0.0002017373,0.00004960719,0.0001246233,0.00007764249,0.00004338164,0.0003827236],"genre_scores_gemma":[0.9982257,0.0001563027,0.0004397565,0.0000646682,0.0000695816,0.000009136566,0.00004741774,0.00001323176,0.0009741663],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.779536,"threshold_uncertainty_score":0.2322503,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03746515392690439,"score_gpt":0.2863415925922587,"score_spread":0.2488764386653543,"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."}}