{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008557168,0.0008946898,0.000938839,0.001365948,0.0003140536,0.000603462,0.0006190056,0.0007409069,0.001204605],"category_scores_gemma":[0.00136679,0.0005264683,0.0008405285,0.00113363,0.0003615182,0.0006313198,0.0005078175,0.0007185469,0.001145515],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002378912,"about_ca_system_score_gemma":0.0003596401,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008209003,"about_ca_topic_score_gemma":0.001974344,"domain_scores_codex":[0.9989619,0.0001932426,0.00006797997,0.0003807083,0.0003089244,0.00008718086],"domain_scores_gemma":[0.9992602,0.0002770584,0.0001822074,0.00008966026,0.000122556,0.00006824455],"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":[0.00008734001,0.00003902445,0.001400778,0.0001378092,0.00004798652,0.00005636255,0.00006060335,0.0004686021,0.9825392,0.0001325269,0.0001146741,0.01491505],"study_design_scores_gemma":[0.00003842409,0.0005029207,0.02568684,0.00004505248,0.0001880104,0.0009468403,0.0001222674,0.0252404,0.9414816,0.0006217714,0.005038148,0.00008777648],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.3048964,0.001896084,0.6848578,0.0001189844,0.00008281485,0.000464927,0.004147626,0.001944638,0.001590656],"genre_scores_gemma":[0.2143964,0.001157697,0.778188,0.0001732892,0.00002953719,0.000404199,0.003787729,0.0001586628,0.001704528],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001365948,"threshold_uncertainty_score":0.004525483,"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."}}