{"id":"W2948234356","doi":"10.3390/genes10060426","title":"De Novo Sequencing, Assembly, and Annotation of Four Threespine Stickleback Genomes Based on Microfluidic Partitioned DNA Libraries","year":2019,"lang":"en","type":"article","venue":"Genes","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University; Canada's Michael Smith Genome Sciences Centre; University of British Columbia","funders":"Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung","keywords":"Stickleback; Genome; Biology; Sequence assembly; Genomics; Computational biology; DNA sequencing; Reference genome; Annotation; Evolutionary biology; Gene; Genetics; Fish <Actinopterygii>; Transcriptome; Fishery","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009151293,0.0001146118,0.0001340576,0.00003535702,0.00004925206,0.00001978816,0.00007321053,0.0000693753,0.00001520948],"category_scores_gemma":[0.00001930164,0.0001080851,0.00004182241,0.00004396137,0.00005716094,0.000001366953,0.00004982335,0.00002401182,0.000005036776],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008383438,"about_ca_system_score_gemma":0.0000979181,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009140275,"about_ca_topic_score_gemma":0.000006206813,"domain_scores_codex":[0.9993917,0.00003045572,0.0001435528,0.0002135065,0.00006548913,0.0001552563],"domain_scores_gemma":[0.9996205,0.00001896157,0.00006879978,0.0001959872,0.00005824019,0.00003752952],"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":[0.0000548042,0.00001584653,0.03788867,0.00004240253,0.00003723651,8.434511e-7,0.00006078324,0.0004126684,0.9600275,0.0001116671,0.0001702703,0.001177267],"study_design_scores_gemma":[0.0005356689,0.0004844155,0.05264626,0.0000154868,0.00002337336,0.000005303331,0.0001021599,0.0002934233,0.9386437,0.0002724958,0.006822963,0.0001547769],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9903412,0.008300138,0.0005833083,0.0001346968,0.00008089045,0.000147156,0.00003693487,0.000003529153,0.0003721416],"genre_scores_gemma":[0.9967821,0.001141684,0.001529513,0.0002440989,0.00008303054,0.00001155396,0.00004062818,0.00001475375,0.000152663],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02138387,"threshold_uncertainty_score":0.4407581,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01555768861645366,"score_gpt":0.2212430757411976,"score_spread":0.2056853871247439,"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."}}