{"id":"W2971521058","doi":"10.3791/59780","title":"Pooled CRISPR-Based Genetic Screens in Mammalian Cells","year":2019,"lang":"en","type":"article","venue":"Journal of Visualized Experiments","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Canadian Institutes of Health Research","keywords":"CRISPR; Computational biology; Genome editing; Biology; Genome; Genetic screen; Context (archaeology); Cas9; Functional genomics; Genomics; Gene; Genetics; Phenotype","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":[0.002346125,0.001353811,0.002111068,0.001485222,0.0009690122,0.001474298,0.002349162,0.001394946,0.005546681],"category_scores_gemma":[0.001076355,0.001208604,0.001656465,0.00097794,0.0006119547,0.0005933467,0.00192631,0.002590793,0.005854666],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008679818,"about_ca_system_score_gemma":0.001011123,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0017212,"about_ca_topic_score_gemma":0.004139337,"domain_scores_codex":[0.9960736,0.000680717,0.0006495859,0.000901319,0.001379234,0.0003155403],"domain_scores_gemma":[0.9991542,0.0002131913,0.0001194151,0.0002759684,0.0001405577,0.00009660942],"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":[0.0001380983,0.00007533492,0.0001603705,0.0002530977,0.00007554312,0.000257575,0.00006263175,0.0007386315,0.9891604,0.001245592,0.001461991,0.006370774],"study_design_scores_gemma":[0.0000746497,0.0003579852,0.00133446,0.00005592599,0.0001046118,0.0006997919,0.00003584541,0.003148858,0.9562197,0.0007956228,0.0371031,0.00006947754],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1142566,0.003151781,0.8171195,0.0006623532,0.0006587238,0.005521472,0.02859485,0.01330863,0.01672612],"genre_scores_gemma":[0.2480788,0.00534754,0.6644886,0.0009860336,0.0001261519,0.0105263,0.0342562,0.002418607,0.03377172],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005546681,"threshold_uncertainty_score":0.01855552,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01119728441204107,"score_gpt":0.3914616672846215,"score_spread":0.3802643828725804,"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."}}