{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005077397,0.0003491943,0.0004758792,0.0005767777,0.0003549113,0.0005800923,0.0005261595,0.001037697,0.002854479],"category_scores_gemma":[0.0007314407,0.0002544039,0.0005703434,0.0006950049,0.0002736726,0.0001569705,0.000320757,0.000998753,0.001709462],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002938882,"about_ca_system_score_gemma":0.0003140874,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001606691,"about_ca_topic_score_gemma":0.001954278,"domain_scores_codex":[0.9996027,0.00003022809,0.00008218429,0.0001079967,0.0001251343,0.00005175213],"domain_scores_gemma":[0.9996661,0.00007283364,0.00003330544,0.00008463189,0.00007148911,0.00007173032],"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":[0.0004898651,0.0003130225,0.004428074,0.0001881931,0.00008355664,0.003662227,0.0006208822,0.0006399625,0.9689738,0.001325795,0.001927118,0.01734748],"study_design_scores_gemma":[0.0008653963,0.003387811,0.1036223,0.0002682263,0.0006564535,0.04210369,0.0007618939,0.007950288,0.711282,0.0009293489,0.1279898,0.0001829457],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9319261,0.004079213,0.02194797,0.0008674808,0.0003049391,0.002307908,0.02563151,0.0003240825,0.01261091],"genre_scores_gemma":[0.8723015,0.002700118,0.03401102,0.001012218,0.00008685526,0.001613204,0.07764734,0.0001522935,0.01047547],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002854479,"threshold_uncertainty_score":0.009549141,"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."}}