{"id":"W2807710262","doi":"10.1101/349290","title":"MobiSeq: De Novo SNP discovery in model and non-model species through sequencing the flanking region of transposable elements","year":2018,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Alberta","keywords":"Biology; Genome; Genetics; Population genomics; Genomics; Computational biology; Transposable element; Population; DNA sequencing; Evolutionary biology; DNA; Gene","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":[0.003230254,0.0007286887,0.0009634519,0.001021628,0.0006175166,0.001102991,0.001045382,0.0009358671,0.001810899],"category_scores_gemma":[0.002338271,0.0005299708,0.0008961995,0.0004965648,0.000721395,0.0004907409,0.00126973,0.00146251,0.001167406],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000314369,"about_ca_system_score_gemma":0.0006188402,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001040292,"about_ca_topic_score_gemma":0.002732613,"domain_scores_codex":[0.9987761,0.0002571664,0.00008242295,0.0004536549,0.0003301165,0.0001005218],"domain_scores_gemma":[0.9986365,0.00063576,0.0002815904,0.0002176445,0.0001281641,0.0001002837],"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":[0.0002286727,0.0001209514,0.004005545,0.0003483246,0.0001523708,0.0002549814,0.0002888704,0.002300226,0.9701256,0.001220581,0.001157342,0.01979659],"study_design_scores_gemma":[0.0001700877,0.0006695365,0.0227906,0.00008726736,0.0001732636,0.001295142,0.0001994273,0.04774103,0.8922516,0.00190223,0.03259005,0.0001297483],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.4292897,0.00151003,0.5422091,0.0004284267,0.0001658936,0.0006582586,0.01277806,0.009961253,0.002999258],"genre_scores_gemma":[0.3323979,0.0006247823,0.6424962,0.0004189191,0.00003716096,0.000715822,0.01762773,0.001769777,0.003911677],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003230254,"threshold_uncertainty_score":0.01708347,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02680238108886134,"score_gpt":0.2324884632141399,"score_spread":0.2056860821252786,"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."}}