{"id":"W4412166688","doi":"10.1017/cjn.2025.10180","title":"F.2 Single cell CRISPR/Cas-9 lineage tracing reveals fitness axis in glioblastoma","year":2025,"lang":"en","type":"article","venue":"Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques","topic":"Glioma Diagnosis and Treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Public Health; University of Winnipeg","funders":"","keywords":"CRISPR; Glioblastoma; Lineage (genetic); Biology; Tracing; Cell lineage; Genetics; Computer science; Gene; Cancer research; Cellular differentiation; Operating system","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.000172792,0.0001698344,0.0001440671,0.0004367261,0.0002066813,0.0003719023,0.0001704837,0.0002586495,0.0009778799],"category_scores_gemma":[0.0001895359,0.0001191371,0.0001780924,0.0002016468,0.00021841,0.0002016524,0.0001847944,0.0003845352,0.0002636608],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004721788,"about_ca_system_score_gemma":0.0003706043,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003682793,"about_ca_topic_score_gemma":0.005852079,"domain_scores_codex":[0.9998869,0.000006970605,0.000009351125,0.00002952943,0.00004273782,0.00002453353],"domain_scores_gemma":[0.9998708,0.00002377398,0.00004351256,0.00001449526,0.00002581091,0.0000216069],"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":[0.00007323441,0.0000212297,0.00355016,0.00003575575,0.000006352048,0.000091219,0.00006003847,0.000707449,0.9863147,0.0005102858,0.0001475407,0.008482011],"study_design_scores_gemma":[0.000007893749,0.0001225322,0.02240176,0.00001158305,0.0000212012,0.00050726,0.0000654598,0.009232624,0.964057,0.0003987275,0.003160888,0.00001315775],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9666256,0.0005557587,0.02900425,0.0001212769,0.00001635346,0.00004172012,0.001099339,0.000436156,0.002099473],"genre_scores_gemma":[0.9763311,0.0003867281,0.0201097,0.00006466755,0.000003680409,0.00003620947,0.0009380744,0.00007639127,0.002053473],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003682793,"threshold_uncertainty_score":0.007322729,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0289422161631048,"score_gpt":0.2851641847720657,"score_spread":0.2562219686089608,"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."}}