{"id":"W4411550317","doi":"10.1007/978-1-0716-4654-0_14","title":"CRISPR-Cas9-Guided Genetic Manipulation of Patient-Derived Brain Tumor Cells","year":2025,"lang":"en","type":"article","venue":"Methods in molecular biology","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Juravinski Cancer Centre; University of Toronto; McMaster University; McMaster University Medical Centre; Discovery Centre","funders":"","keywords":"CRISPR; Genome editing; Cas9; Computational biology; Biology; Neuroscience; Genetics; Computer science; 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":[0.0003718011,0.0003630975,0.0004354431,0.0003413113,0.0003178195,0.0005964536,0.0004153627,0.0005564746,0.003060183],"category_scores_gemma":[0.0003191254,0.0001983067,0.0003429642,0.0002783455,0.0002909362,0.0001626022,0.0003048059,0.001147235,0.001354867],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002759971,"about_ca_system_score_gemma":0.0005188373,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007431099,"about_ca_topic_score_gemma":0.001210113,"domain_scores_codex":[0.9996835,0.00004231561,0.00004079758,0.00006905993,0.0001141816,0.00005024226],"domain_scores_gemma":[0.9999019,0.00002562495,0.0000166797,0.00002478781,0.00001403914,0.00001690372],"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":[0.0001057489,0.00005273234,0.0003242942,0.00006002532,0.00001898545,0.0005659999,0.00006574246,0.0004110613,0.9895051,0.001383766,0.001004484,0.006502235],"study_design_scores_gemma":[0.00002494989,0.00007691408,0.0008213558,0.000009368015,0.0000317093,0.001845216,0.00002684346,0.001584836,0.9769297,0.0002324479,0.01840814,0.000008486856],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7671997,0.002407094,0.1952943,0.00147299,0.0005879208,0.001599353,0.01077571,0.002893787,0.01776929],"genre_scores_gemma":[0.9251037,0.001670203,0.05360616,0.0003357788,0.00002822278,0.0008425927,0.005624983,0.0003624864,0.01242594],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003060183,"threshold_uncertainty_score":0.01023734,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01330784176717223,"score_gpt":0.4041045578217772,"score_spread":0.390796716054605,"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."}}