{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005886008,0.0004325424,0.000720221,0.0005672327,0.0007053216,0.003200353,0.001109133,0.001180414,0.002152777],"category_scores_gemma":[0.002351041,0.0002637393,0.0009984557,0.0003008403,0.001075213,0.001354271,0.002141234,0.003180604,0.0008757038],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004915813,"about_ca_system_score_gemma":0.00133007,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008364114,"about_ca_topic_score_gemma":0.002503876,"domain_scores_codex":[0.9985557,0.0006922128,0.0001754566,0.0001180993,0.0003633714,0.00009503309],"domain_scores_gemma":[0.9982812,0.0005721938,0.0001541077,0.0004163465,0.0004010114,0.0001750563],"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":[0.0003217781,0.0004144498,0.007866481,0.001894671,0.0002522074,0.001866353,0.002507252,0.007766331,0.7404977,0.06484644,0.01914374,0.1526226],"study_design_scores_gemma":[0.00009072824,0.001098579,0.00253957,0.0005778148,0.0002899654,0.004079765,0.001583137,0.005928834,0.6479785,0.0122578,0.3234472,0.0001281148],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2094511,0.03868783,0.6684371,0.04446901,0.005769083,0.001731853,0.002676197,0.00145487,0.02732292],"genre_scores_gemma":[0.4558058,0.05667331,0.4608579,0.008421989,0.0008030262,0.001200622,0.003723864,0.0004530826,0.01206041],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005886008,"threshold_uncertainty_score":0.03112853,"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."}}