{"id":"W2146054888","doi":"10.1093/dnares/dsu015","title":"Efficient DNA Fingerprinting Based on the Targeted Sequencing of Active Retrotransposon Insertion Sites Using a Bench-Top High-Throughput Sequencing Platform","year":2014,"lang":"en","type":"article","venue":"DNA Research","topic":"Chromosomal and Genetic Variations","field":"Agricultural and Biological Sciences","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Institute of Genetics; Ministry of Agriculture, Forestry and Fisheries; National Agriculture and Food Research Organization; Ministry of Education, Culture, Sports, Science and Technology","keywords":"Retrotransposon; Biology; DNA sequencing; Genetics; Genome; DNA profiling; Phylogenetic tree; Polymerase chain reaction; Computational biology; DNA; Gene; Transposable element","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":[0.001564719,0.0001382685,0.0001751757,0.00005547377,0.000772029,0.00006677083,0.0002955714,0.0001104176,0.0002579491],"category_scores_gemma":[0.0006343458,0.00005493789,0.00009275267,0.0009337317,0.0001306427,0.0000554897,0.00007741829,0.0003549669,0.00001363279],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002994281,"about_ca_system_score_gemma":0.00007894688,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001815495,"about_ca_topic_score_gemma":0.0003875046,"domain_scores_codex":[0.9978402,0.0003233959,0.000277727,0.0003595736,0.0007312411,0.0004678611],"domain_scores_gemma":[0.9980943,0.001322277,0.00008690677,0.0001412646,0.0002774018,0.00007783345],"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":[0.00004405111,0.00004163041,0.001263385,0.0000144999,0.000008345459,9.65098e-7,0.0005132973,0.007842197,0.9856589,0.001255135,0.000003549612,0.003353991],"study_design_scores_gemma":[0.0001838245,0.000409123,0.04963657,0.0001590774,0.000009745925,0.000001549578,0.001007612,0.3071205,0.6400507,0.001212655,0.00005298651,0.0001556686],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977604,0.00001239846,0.0001105866,0.001103398,0.00005092801,0.0003609688,0.00003027547,0.00003315672,0.0005378794],"genre_scores_gemma":[0.9992546,0.000002045451,0.0004231274,0.000083593,0.0001676765,0.00001913753,0.00003510045,0.000002407872,0.00001226834],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3456082,"threshold_uncertainty_score":0.5937901,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.102636645578596,"score_gpt":0.297207813486587,"score_spread":0.194571167907991,"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."}}