{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005617809,0.0007831858,0.0007394687,0.001539936,0.0007263121,0.001221971,0.0006764118,0.0006060185,0.001201644],"category_scores_gemma":[0.001259126,0.0005229077,0.0009459782,0.00151973,0.0004079603,0.0005622504,0.001074456,0.001065021,0.0009843586],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007258162,"about_ca_system_score_gemma":0.001145421,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003672956,"about_ca_topic_score_gemma":0.007977991,"domain_scores_codex":[0.9996206,0.00004207922,0.0000352667,0.0001378349,0.0001053337,0.00005886937],"domain_scores_gemma":[0.9993367,0.0001676492,0.0001559679,0.0001033244,0.0001191345,0.0001173269],"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":[0.000800746,0.0001018373,0.003879264,0.0006115136,0.00009950066,0.000336235,0.0005909007,0.002257379,0.9506036,0.001298514,0.001448025,0.03797251],"study_design_scores_gemma":[0.0002932064,0.001214249,0.1680511,0.0004699723,0.0007010686,0.001206688,0.0008857052,0.02153569,0.6647274,0.003225589,0.1374284,0.0002609706],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7778345,0.003904867,0.1484403,0.0004979975,0.0002417259,0.000922134,0.05959591,0.003311089,0.005251399],"genre_scores_gemma":[0.4455128,0.003683737,0.3749128,0.0003827504,0.000086872,0.001009697,0.1651472,0.0009835963,0.008280607],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003672956,"threshold_uncertainty_score":0.007303178,"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."}}