{"id":"W1998165550","doi":"10.1007/s001220051709","title":"Inter-MITE polymorphisms (IMP): a high throughput transposon-based genome mapping and fingerprinting approach","year":2001,"lang":"en","type":"article","venue":"Theoretical and Applied Genetics","topic":"Chromosomal and Genetic Variations","field":"Agricultural and Biological Sciences","cited_by":70,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Biology; Genetics; Hordeum vulgare; Transposable element; Genome; Population; Gene mapping; Mite; DNA profiling; Computational biology; Gene; Botany; Poaceae; DNA; Chromosome","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":[0.0008436289,0.0006774231,0.001299478,0.001936939,0.000494636,0.0007183596,0.001247903,0.0006694474,0.001346544],"category_scores_gemma":[0.00102734,0.000639947,0.001333914,0.001099561,0.0004404142,0.0004818653,0.0009501006,0.001929455,0.0009707605],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002909645,"about_ca_system_score_gemma":0.0002812559,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009039238,"about_ca_topic_score_gemma":0.001828455,"domain_scores_codex":[0.9990484,0.0001656582,0.00003179197,0.0003427282,0.0003164841,0.00009499786],"domain_scores_gemma":[0.9993582,0.0002918413,0.0001044136,0.0001321984,0.00005193206,0.00006141209],"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":[0.0003342894,0.0001812992,0.00290124,0.0001967352,0.0001475062,0.0001258413,0.00008200213,0.0009671657,0.9343974,0.0009790157,0.0002802859,0.0594072],"study_design_scores_gemma":[0.0001191483,0.0008474842,0.04233051,0.0000356505,0.0006582804,0.002746781,0.00009842189,0.03521079,0.9039923,0.002563131,0.01127134,0.0001261591],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2219531,0.001504685,0.7672734,0.0001825722,0.00005970017,0.0004472912,0.002845152,0.002552842,0.003181313],"genre_scores_gemma":[0.4062143,0.0008966702,0.5833579,0.0001900956,0.00003670601,0.0003747597,0.004134994,0.0002603437,0.00453416],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001936939,"threshold_uncertainty_score":0.004504681,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01160687614315383,"score_gpt":0.1869369052929385,"score_spread":0.1753300291497847,"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."}}