{"id":"W4411941436","doi":"10.1101/2025.06.27.661753","title":"Visible traits demonstrate that crispant founder mice can be used for phenotypic assessment","year":2025,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Genetics and Physical Performance","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; SickKids Foundation; Toronto Centre for Phenogenomics; Hospital for Sick Children","funders":"","keywords":"Phenotype; Biology; Genetics; Evolutionary biology; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003309129,0.0006004386,0.0005138846,0.0001040996,0.0002183957,0.0001897656,0.0006450132,0.000595197,0.00001049462],"category_scores_gemma":[0.0000368073,0.0006399571,0.0002809063,0.0001771478,0.0001061067,0.000007165735,0.0004398222,0.0004391625,0.000002934911],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001076098,"about_ca_system_score_gemma":0.001383015,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004933387,"about_ca_topic_score_gemma":0.00003826097,"domain_scores_codex":[0.9974061,0.00008051164,0.0004163915,0.001150891,0.000285547,0.0006606122],"domain_scores_gemma":[0.9981062,0.00003689329,0.0002922132,0.0009327884,0.0003931695,0.000238721],"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":[0.00004302739,0.0001676826,0.001612946,0.0005035877,0.0002853039,0.000002101799,0.000006384792,0.0004359107,0.9951566,0.0007067532,0.001068511,0.00001113768],"study_design_scores_gemma":[0.0009560761,0.000195608,0.03931776,0.0001869533,0.0002203014,1.07622e-8,0.000005566828,0.00122056,0.93264,0.00002432592,0.02428217,0.0009506915],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9801373,0.0009722488,0.01440142,0.0006292286,0.0009958389,0.001268259,0.001467397,0.00007471078,0.00005361341],"genre_scores_gemma":[0.9870311,0.0003572834,0.01081537,0.0007141301,0.0005238447,0.0004264403,0.00001093677,0.00007642456,0.00004446784],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06251668,"threshold_uncertainty_score":0.9996052,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0209373779032688,"score_gpt":0.2645313207226352,"score_spread":0.2435939428193664,"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."}}