{"id":"W4221050649","doi":"10.1093/nargab/lqac026","title":"Construction of a chromosome-level Japanese stickleback species genome using ultra-dense linkage analysis with single-cell sperm sequencing","year":2022,"lang":"en","type":"article","venue":"NAR Genomics and Bioinformatics","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Institute of Genetics; Japan Society for the Promotion of Science; Research Organization of Information and Systems","keywords":"Genome; Biology; Genetics; Linkage (software); Contig; Genetic linkage; Genotyping; Genomics; Chromosome; Sperm; Computational biology; Stickleback; Genotype; Gene; Fish <Actinopterygii>","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002057961,0.0002294768,0.0003571156,0.0001673286,0.0002952752,0.00004221295,0.0001668495,0.00007874807,0.00002374278],"category_scores_gemma":[0.00001172536,0.0002124814,0.0001243691,0.0003204928,0.0002172069,0.000003747175,0.000205885,0.0001147584,7.39892e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009819934,"about_ca_system_score_gemma":0.0001401453,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003706752,"about_ca_topic_score_gemma":0.00002718053,"domain_scores_codex":[0.9987998,0.00003192962,0.0004743103,0.000237995,0.0001886337,0.0002673271],"domain_scores_gemma":[0.9991014,0.00001916467,0.0003646071,0.0003140388,0.0001195737,0.00008121086],"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":[0.00007555017,0.00004897649,0.002274493,0.0001035477,0.0004929789,0.000003320767,0.002731857,0.01083696,0.9831325,0.00002091323,0.000006292774,0.0002726019],"study_design_scores_gemma":[0.00749285,0.007092036,0.01264675,0.00006528066,0.005200095,0.001745608,0.1392973,0.06492877,0.7400774,0.0001722724,0.017318,0.003963596],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.996067,0.0007831628,0.001419707,0.00001441221,0.00007332363,0.0002237356,0.0005633325,0.000003778957,0.0008514841],"genre_scores_gemma":[0.967439,0.0004893676,0.03162498,0.00007139955,0.00007777801,0.000005569031,0.0001482046,0.00002138637,0.000122309],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2430551,"threshold_uncertainty_score":0.8664742,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02544240629958201,"score_gpt":0.2044549693694163,"score_spread":0.1790125630698343,"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."}}