{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007964889,0.0006722958,0.0003796619,0.0009814898,0.0003469414,0.0009233139,0.0006923239,0.00102464,0.01025345],"category_scores_gemma":[0.0007155031,0.000440141,0.0005244611,0.0002731601,0.00059632,0.0005678282,0.001082526,0.001960892,0.003851328],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002551506,"about_ca_system_score_gemma":0.0002775733,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004777821,"about_ca_topic_score_gemma":0.0008008506,"domain_scores_codex":[0.9991867,0.00005126007,0.00009251926,0.0001883295,0.0004134721,0.00006777218],"domain_scores_gemma":[0.9988919,0.0002301239,0.000274203,0.0002587599,0.0001359531,0.000208985],"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":[0.00004037888,0.00001789111,0.0002560242,0.00003578766,0.000007697014,0.0001728659,0.000025211,0.00008278234,0.9954282,0.0005272723,0.0002810848,0.003124827],"study_design_scores_gemma":[0.00002121075,0.00008797014,0.005338527,0.00002729042,0.00002610938,0.001320625,0.00002660741,0.001124798,0.9774047,0.0004892525,0.01411476,0.00001810408],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7107757,0.002002442,0.237559,0.001587306,0.0004264186,0.000279474,0.01471697,0.006262149,0.02639046],"genre_scores_gemma":[0.8097085,0.002000317,0.1072299,0.001007521,0.00008720486,0.0003191635,0.01103126,0.006919254,0.06169702],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01025345,"threshold_uncertainty_score":0.03430122,"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."}}