{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004153215,0.0003197647,0.0004716747,0.0008876511,0.0003897528,0.0004584433,0.0004085458,0.0004325234,0.001417362],"category_scores_gemma":[0.0003636293,0.0003094005,0.0006585308,0.0006612842,0.0001853139,0.000295754,0.000578589,0.0006155038,0.000695519],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000294521,"about_ca_system_score_gemma":0.0003873458,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002721513,"about_ca_topic_score_gemma":0.005453659,"domain_scores_codex":[0.9998075,0.00002379144,0.00001525099,0.00007890172,0.00005658331,0.00001797489],"domain_scores_gemma":[0.9997401,0.00006103646,0.00005362205,0.00004767862,0.000067594,0.00003006121],"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":[0.00006173454,0.00002199993,0.001762615,0.000161206,0.00004318796,0.0001138967,0.0001218673,0.0008941716,0.9807621,0.0004241514,0.0001691779,0.01546404],"study_design_scores_gemma":[0.00007438927,0.0005283017,0.09595405,0.00009527153,0.0004312831,0.001094684,0.0004179357,0.03412828,0.8256388,0.001561151,0.03996852,0.000107238],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6044644,0.001342832,0.384261,0.0001821674,0.0000910925,0.0003202572,0.005253435,0.001737094,0.002347776],"genre_scores_gemma":[0.502461,0.0009310207,0.4791811,0.000149726,0.00002616601,0.0002497701,0.01233748,0.0003807134,0.004283091],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002721513,"threshold_uncertainty_score":0.005411267,"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."}}