{"id":"W4407086288","doi":"10.1080/07366205.2025.2457889","title":"CRISPR screens in neurological research: exploring the functional basis of aging and disease","year":2025,"lang":"en","type":"article","venue":"BioTechniques","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Oncolytics Biotech (Canada)","funders":"","keywords":"CRISPR; Disease; Biology; Neuroscience; Computational biology; Genetics; Medicine; Gene; Pathology","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":[0.002017698,0.0004693341,0.0006407523,0.0006552933,0.0005450823,0.001103002,0.000528498,0.0008602439,0.002147377],"category_scores_gemma":[0.0009346597,0.0002708533,0.000337184,0.000305165,0.001209428,0.0007948853,0.0008636206,0.001442856,0.001014037],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007791021,"about_ca_system_score_gemma":0.0009005501,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009400308,"about_ca_topic_score_gemma":0.002413514,"domain_scores_codex":[0.999423,0.0001782714,0.00004532028,0.0001178154,0.0001774318,0.00005823702],"domain_scores_gemma":[0.9994813,0.0002103668,0.00006014008,0.0000598456,0.00008810973,0.0001001645],"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":[0.0003377096,0.00007605823,0.001029179,0.0004627822,0.00007645507,0.0003560362,0.0001671699,0.0007224443,0.8467126,0.02360843,0.007321979,0.1191292],"study_design_scores_gemma":[0.0001107895,0.001002018,0.007474796,0.0003578511,0.0001705412,0.002975394,0.0002910391,0.004187983,0.758726,0.0361701,0.1884112,0.0001223757],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2679783,0.2232143,0.3538902,0.06746456,0.004275053,0.000368099,0.003554583,0.00473284,0.07452206],"genre_scores_gemma":[0.6821263,0.1257102,0.1387156,0.01200433,0.0005739816,0.000210859,0.001029146,0.0004351751,0.0391943],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002147377,"threshold_uncertainty_score":0.01067072,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06961229021355922,"score_gpt":0.3687851723747715,"score_spread":0.2991728821612123,"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."}}