{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003395239,0.00005668741,0.0000574698,0.00008629269,0.00004523717,0.000008882371,0.00008658676,0.00004853433,0.00000214787],"category_scores_gemma":[0.0002052317,0.00004326886,0.00002667267,0.0001309958,0.00009567205,0.00000195989,0.0001618367,0.0001224823,1.141374e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000002790441,"about_ca_system_score_gemma":0.00002606115,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003071341,"about_ca_topic_score_gemma":0.00001383874,"domain_scores_codex":[0.999478,0.00005833334,0.0000993314,0.000167905,0.00007455271,0.0001218341],"domain_scores_gemma":[0.9997126,0.00003632811,0.00000945063,0.0001738927,0.00003328263,0.00003440562],"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":[0.0002151501,0.00009219605,0.09275546,0.000129816,0.00003013031,0.00001017238,0.00006383763,0.0002282982,0.8626406,0.004696376,0.005583677,0.03355425],"study_design_scores_gemma":[0.0001059704,0.0000824808,0.3287043,0.00004763043,0.000006007066,0.000001305486,0.00005055378,0.000220156,0.6581239,0.000765063,0.01181963,0.00007303681],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9713879,0.001889717,0.02444498,0.001797922,0.00004376864,0.000151739,0.000004815327,0.00001949847,0.0002596951],"genre_scores_gemma":[0.9981614,0.0008087866,0.0007517515,0.000130298,0.00004144193,0.0000433032,0.000004062024,0.000004548075,0.00005441604],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2359488,"threshold_uncertainty_score":0.1764453,"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."}}