{"id":"W4411537969","doi":"10.1167/iovs.66.6.64","title":"Ocular Phenotyping of Knockout Mice Identifies Genes Associated With Late Adult Retinal Phenotypes","year":2025,"lang":"en","type":"article","venue":"Investigative Ophthalmology & Visual Science","topic":"Retinal Development and Disorders","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hospital for Sick Children; Sinai Health System; Mount Sinai Hospital; Lunenfeld-Tanenbaum Research Institute; University of Toronto; Toronto Centre for Phenogenomics; SickKids Foundation","funders":"National Eye Institute; FP7 Health; National Human Genome Research Institute; Akademie Věd České Republiky; National Institutes of Health; Government of Canada; INFRAFRONTIER; Ontario Genomics; Genome Canada","keywords":"Phenotype; Knockout mouse; Retinal; Gene; Biology; Genetics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003461392,0.0006694991,0.0005606303,0.002016137,0.0002036636,0.0003109545,0.0003505659,0.000370692,0.002037786],"category_scores_gemma":[0.0004311829,0.0002224121,0.0005529441,0.0008066338,0.0002206558,0.0002386484,0.0003483081,0.0004038381,0.0006513951],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002189465,"about_ca_system_score_gemma":0.0002496658,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004503909,"about_ca_topic_score_gemma":0.0007704014,"domain_scores_codex":[0.9996653,0.00002599261,0.00004811509,0.0001161389,0.0001058328,0.00003869103],"domain_scores_gemma":[0.9993269,0.0001236204,0.0003669682,0.00005940888,0.00005495445,0.00006816045],"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":[0.0001444953,0.00002706049,0.007766859,0.0001637224,0.00002591525,0.0003719216,0.00002020307,0.0001011684,0.9867188,0.00008205735,0.0001574269,0.00442044],"study_design_scores_gemma":[0.00005799276,0.0004498111,0.2659586,0.0001074689,0.0003732605,0.006947181,0.00009479711,0.002567465,0.7145869,0.0002397246,0.0085885,0.00002826443],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9684853,0.0037809,0.01573309,0.000109483,0.00002654335,0.00008589234,0.009766714,0.0008586667,0.001153474],"genre_scores_gemma":[0.9376206,0.00498679,0.03169475,0.0002085824,0.00001971332,0.0003048911,0.02134021,0.0003488523,0.003475652],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002037786,"threshold_uncertainty_score":0.006817102,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01357936062979847,"score_gpt":0.2904518469493443,"score_spread":0.2768724863195458,"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."}}