{"id":"W4411072421","doi":"10.1101/2025.06.02.657502","title":"Oligo-FISH Validates Genome Assemblies and Delivers the Most Precise Karyotype for <i>Lens</i> Mill. Species","year":2025,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Chromosomal and Genetic Variations","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"Genome Prairie; Akademie Věd České Republiky; Saskatchewan Pulse Growers; Western Grains Research Foundation; Ministry of Agriculture - Saskatchewan; Genome Canada","keywords":"Fish <Actinopterygii>; Karyotype; Biology; Genome; Mill; Lens (geology); Computational biology; Chromosome; Evolutionary biology; Genetics; Fishery; Engineering; Gene; Paleontology; Mechanical engineering","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0003083513,0.0004681014,0.0004520773,0.0007840811,0.0006956407,0.000564995,0.0003789141,0.0004510212,0.003915045],"category_scores_gemma":[0.0004343004,0.0003078839,0.0004661524,0.000743383,0.0002768014,0.0003343688,0.0005279973,0.00056735,0.001731386],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006321125,"about_ca_system_score_gemma":0.0002654516,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003472289,"about_ca_topic_score_gemma":0.009551353,"domain_scores_codex":[0.9996364,0.00002157309,0.00003214903,0.0001863828,0.0000631001,0.00006034142],"domain_scores_gemma":[0.9996393,0.00007586757,0.00007435661,0.00007138248,0.0001030943,0.00003598594],"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":[0.00009458581,0.000007881674,0.001647555,0.00006955231,0.00001110562,0.00005901077,0.0000784619,0.0001000339,0.993458,0.00008732779,0.0001234992,0.004263006],"study_design_scores_gemma":[0.00002263311,0.000312695,0.1151488,0.00006892201,0.0001354465,0.0006214237,0.0003731258,0.002000799,0.8512008,0.000239694,0.02982292,0.00005270859],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9166718,0.0009330391,0.0524893,0.0001592412,0.00007657033,0.0001888613,0.01989393,0.001542113,0.008045164],"genre_scores_gemma":[0.8484293,0.0007734032,0.09627519,0.0003575602,0.00001935418,0.0003580652,0.03853788,0.00123662,0.01401278],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003915045,"threshold_uncertainty_score":0.01309711,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02005840843064624,"score_gpt":0.2033309663116741,"score_spread":0.1832725578810279,"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."}}