{"id":"W3006232974","doi":"10.1002/sctm.19-0344","title":"A roadmap for neurodevelopmental disease modeling for non-stem cell biologists","year":2020,"lang":"en","type":"review","venue":"Stem Cells Translational Medicine","topic":"Pluripotent Stem Cells Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Douglas Mental Health University Institute","funders":"","keywords":"Induced pluripotent stem cell; Stem cell; Computational biology; Disease; Neuroscience; Translational medicine; Embryonic stem cell; Computer science; Human disease; Genome editing; Biology; Bioinformatics; Medicine; CRISPR; Gene; Pathology; 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004373892,0.000655504,0.001277614,0.0001578177,0.0001643219,0.0000209272,0.0005664036,0.0003830464,0.00001581778],"category_scores_gemma":[0.00001520311,0.0005273332,0.0006769149,0.0001887293,0.0001044101,0.000006193377,0.00007876949,0.0002386073,0.00002149893],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004752055,"about_ca_system_score_gemma":0.0009483236,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002517838,"about_ca_topic_score_gemma":0.000002584914,"domain_scores_codex":[0.9966695,0.0001193289,0.001001964,0.001192903,0.0004458733,0.0005704749],"domain_scores_gemma":[0.9984701,0.0002144958,0.0002714874,0.0003852645,0.0001944301,0.0004642534],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001037367,0.0002342249,0.000007839916,0.07932676,0.0006809263,0.00004474352,0.0001406343,0.00131373,0.0110882,0.00005497397,0.006544043,0.8995265],"study_design_scores_gemma":[0.001598962,0.0004317197,5.90485e-7,0.002130771,0.0004854707,0.000008170716,0.00002109872,0.008235998,0.0005028932,0.00002558785,0.9859925,0.0005662167],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00004474537,0.933594,0.05912064,0.0004260207,0.0005529555,0.004554998,0.001517544,0.00002589859,0.0001631247],"genre_scores_gemma":[0.002025542,0.9858886,0.001284856,0.000141987,0.001261686,0.001243011,0.006560167,0.0001682077,0.001425967],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9794485,"threshold_uncertainty_score":0.9997178,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06738809379493,"score_gpt":0.3332905363444412,"score_spread":0.2659024425495112,"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."}}