{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001568007,0.00113254,0.000785803,0.0013379,0.0006375709,0.0009720303,0.001083939,0.0009466796,0.005192599],"category_scores_gemma":[0.0007303795,0.0008074759,0.001076704,0.0004286837,0.0006036999,0.0007149565,0.001695456,0.002416221,0.003188385],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004825069,"about_ca_system_score_gemma":0.001229751,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001030437,"about_ca_topic_score_gemma":0.002098609,"domain_scores_codex":[0.9990543,0.0001228579,0.00009638259,0.0001830598,0.000466635,0.00007691644],"domain_scores_gemma":[0.9995171,0.0001005154,0.0000867475,0.0001401069,0.00007691795,0.00007862412],"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":[0.00008502023,0.00008515827,0.0001952464,0.0001613698,0.00003896384,0.0003040537,0.00006115485,0.000863431,0.9663917,0.003167889,0.002820688,0.0258253],"study_design_scores_gemma":[0.00008412733,0.0004424418,0.0008793221,0.00004393588,0.00007945866,0.002237526,0.00002742336,0.004811144,0.9042562,0.001424178,0.08563983,0.00007438626],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05977619,0.003019581,0.9015698,0.001271016,0.0006107471,0.002944413,0.004927138,0.01229647,0.01358462],"genre_scores_gemma":[0.1715454,0.005737601,0.7948986,0.0004808824,0.00009028002,0.003115115,0.008442369,0.001577822,0.01411185],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005192599,"threshold_uncertainty_score":0.017371,"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."}}