{"id":"W4404697945","doi":"10.18699/vjgb-24-76","title":"Generation and characterization of two induced pluripotent stem cell lines (ICGi052-A and ICGi052-B) from a patient with frontotemporal dementia with parkinsonism-17 associated with the pathological variant c.2013T>G in the MAPT gene","year":2024,"lang":"en","type":"article","venue":"Vavilov Journal of Genetics and Breeding","topic":"Pluripotent Stem Cells Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Novelis (Canada)","funders":"Ministry of Science and Higher Education of the Russian Federation; Siberian Branch, Russian Academy of Sciences","keywords":"Frontotemporal dementia; Induced pluripotent stem cell; Pathological; Parkinsonism; Dementia; Neuroscience; Psychology; Medicine; Gerontology; Pathology; Biology; Genetics; Embryonic stem cell; Disease","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":[0.0005149136,0.0001796095,0.0002123254,0.00007602401,0.0001061533,0.0001655415,0.0001257195,0.00009298117,0.000001831319],"category_scores_gemma":[0.00000525374,0.0000883419,0.0000274368,0.0001251376,0.0001006218,0.00001823101,0.00008477241,0.000196895,6.231194e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001428865,"about_ca_system_score_gemma":0.00007383922,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002843025,"about_ca_topic_score_gemma":0.0001112827,"domain_scores_codex":[0.9986827,0.0001746094,0.000330817,0.0002625529,0.000360661,0.0001887083],"domain_scores_gemma":[0.9993387,0.0000368873,0.0002669051,0.0001216393,0.0001671873,0.00006868663],"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":[0.0001961913,0.00007415776,0.01364571,0.00002001938,0.0001389737,0.0001276726,0.0006486736,0.0001168051,0.9809985,0.000004914954,0.00002468374,0.004003769],"study_design_scores_gemma":[0.00858378,0.02019483,0.311096,0.001114448,0.001177051,0.002154052,0.002715543,0.02839514,0.6203066,0.00007587299,0.003066652,0.001119988],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9923698,0.00482578,0.002025142,0.0004148172,0.00004527,0.0002648306,0.00003834351,0.000002343034,0.00001367409],"genre_scores_gemma":[0.9975332,0.001443653,0.000711687,0.00007215595,0.0001553557,0.000007333313,0.00004402364,0.00001859392,0.00001398613],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3606918,"threshold_uncertainty_score":0.3602478,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02749712013700838,"score_gpt":0.233328637374113,"score_spread":0.2058315172371046,"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."}}