{"id":"W4405156650","doi":"10.1101/2024.12.08.627374","title":"Degron-modified Cas12a enhances single-cell CRISPR screening","year":2024,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"CRISPR; Degron; Computational biology; Biology; Genetics; Gene","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001032172,0.0005063168,0.0009468767,0.0006328922,0.0003256584,0.001216329,0.000787362,0.0008865501,0.003883709],"category_scores_gemma":[0.0005982741,0.0004616309,0.0004050979,0.000363213,0.0004737685,0.0004372577,0.001294204,0.00140093,0.003434748],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005190508,"about_ca_system_score_gemma":0.0003461062,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006838999,"about_ca_topic_score_gemma":0.00183372,"domain_scores_codex":[0.9988452,0.0001444705,0.0001008949,0.0003129685,0.0004649096,0.0001315846],"domain_scores_gemma":[0.999343,0.0001597518,0.000109221,0.0001702259,0.0000908677,0.0001268648],"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":[0.00004525963,0.00002280792,0.0001673863,0.00005351034,0.000006181024,0.00005696814,0.00001368964,0.0003292166,0.9954695,0.000412779,0.0003325647,0.003090326],"study_design_scores_gemma":[0.000006981177,0.00003868843,0.0006116244,0.000005402188,0.000007990558,0.0001812341,0.000007188887,0.003509937,0.9876689,0.0001190089,0.007830256,0.00001274796],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.637229,0.001941258,0.3187707,0.001032792,0.0003343835,0.0004750799,0.006019684,0.01372226,0.02047481],"genre_scores_gemma":[0.8198143,0.0008880126,0.1545382,0.0003675764,0.00003180777,0.0002014518,0.003888879,0.001751326,0.01851855],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003883709,"threshold_uncertainty_score":0.01299232,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0136814833785684,"score_gpt":0.2531450093007321,"score_spread":0.2394635259221637,"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."}}