{"id":"W2173357459","doi":"10.1016/j.stemcr.2015.10.011","title":"Creating Patient-Specific Neural Cells for the In Vitro Study of Brain Disorders","year":2015,"lang":"en","type":"article","venue":"Stem Cell Reports","topic":"Pluripotent Stem Cells Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":77,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Cancer Institute; National Institute of Mental Health; National Institute on Aging; European Research Council; Seventh Framework Programme; Leona M. and Harry B. Helmsley Charitable Trust; Medical Research Council; Takeda Pharmaceuticals International; National Institutes of Health; Walloon excellence in life sciences and biotechnology; Fonds De La Recherche Scientifique - FNRS; Harvard Stem Cell Institute; Bundesministerium für Bildung und Forschung; Wellcome Trust; New York Stem Cell Foundation; Brain and Behavior Research Foundation; JPB Foundation; U.S. Department of Defense; Simons Foundation; Stanley Foundation; Azrieli Foundation; Wellcome; National Institute of Neurological Disorders and Stroke; G. Harold and Leila Y. Mathers Charitable Foundation; Spinal Muscular Atrophy Foundation; Maryland Stem Cell Research Fund; California Institute for Regenerative Medicine","keywords":"Optimism; Biology; Brain disease; Field (mathematics); Data science; Neuroscience; Disease; Computer science; Psychology; Pathology; Medicine","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":[0.0006318867,0.0001402185,0.0001788144,0.00005335014,0.00006232769,0.00002099399,0.0001665147,0.00007074988,0.000002587331],"category_scores_gemma":[0.00004158896,0.0001063729,0.00008231246,0.0001270293,0.00004844796,0.000004209765,0.0001657013,0.00009070281,0.000001089024],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002292114,"about_ca_system_score_gemma":0.0000703285,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001253662,"about_ca_topic_score_gemma":0.00009943739,"domain_scores_codex":[0.9983781,0.0001284925,0.0004749726,0.0004008325,0.0003190782,0.0002985347],"domain_scores_gemma":[0.9989038,0.00009179922,0.0002428524,0.0005721498,0.0001079099,0.0000815021],"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":[0.0002815098,0.0004737276,0.004654073,0.00003780172,0.00002455704,0.00004731459,0.001144321,0.001671281,0.9783719,4.211589e-7,0.00217414,0.011119],"study_design_scores_gemma":[0.00130387,0.001315094,0.0007361972,0.000008855846,0.00001293361,0.00001859968,0.009562567,0.0008205774,0.9643643,0.00001786472,0.02162469,0.0002144326],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955685,0.00101202,0.0001361795,0.0000587142,0.0002673389,0.001343889,0.000006785168,0.000005887468,0.001600731],"genre_scores_gemma":[0.9986787,0.00002646856,0.00006685445,0.00002073587,0.00004901423,0.0001099808,0.0000246,0.00002626244,0.0009973426],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01945055,"threshold_uncertainty_score":0.4337762,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02036893302403874,"score_gpt":0.2651077296988094,"score_spread":0.2447387966747707,"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."}}