{"id":"W2558538885","doi":"10.1002/sctm.16-0158","title":"A Rapid Pipeline to Model Rare Neurodevelopmental Disorders with Simultaneous CRISPR/Cas9 Gene Editing","year":2016,"lang":"en","type":"article","venue":"Stem Cells Translational Medicine","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill Genome Centre; McGill University; Douglas Mental Health University Institute","funders":"Fonds de Recherche du Québec - Santé; Canadian Institutes of Health Research; Canada Research Chairs","keywords":"CRISPR; Genome editing; Computational biology; Genetics; Gene; Cas9; Biology; Pipeline (software); Bioinformatics; Computer science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001061717,0.0002102393,0.0001718237,0.00006388535,0.00006325736,0.000004986834,0.0001236959,0.00006840951,0.0000535534],"category_scores_gemma":[0.00001599772,0.0001407176,0.00003926266,0.00009945156,0.00006069359,0.000004412668,0.00002062981,0.00005617826,0.000008043326],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009621944,"about_ca_system_score_gemma":0.0000547359,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003570483,"about_ca_topic_score_gemma":0.00003487164,"domain_scores_codex":[0.9987893,0.00001650515,0.0002615269,0.0003875261,0.000281231,0.0002639058],"domain_scores_gemma":[0.9994864,0.00005150701,0.00003898536,0.000180968,0.00007830976,0.0001638271],"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":[0.000195501,0.000029252,0.0001898584,0.00003198059,0.00003565216,0.00001052255,0.0002959917,0.06743567,0.8799695,0.00001059351,0.002368592,0.04942692],"study_design_scores_gemma":[0.006133979,0.001219422,0.0004141955,0.0002847985,0.00009961366,0.000095464,0.000320269,0.02920743,0.8561321,0.00006943122,0.1050725,0.0009508007],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1161071,0.0008754689,0.8767037,0.004979963,0.0002692374,0.000371227,0.0001022994,0.00003532651,0.0005556158],"genre_scores_gemma":[0.9922152,0.0001738225,0.005533816,0.0005670688,0.0004756701,0.00002145041,0.00009162164,0.00004074366,0.0008806033],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8761081,"threshold_uncertainty_score":0.5738298,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008217826052900503,"score_gpt":0.2483089302991246,"score_spread":0.2400911042462241,"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."}}