{"id":"W2948445711","doi":"10.1101/667121","title":"Genomic Environments and Their Influence on Transposable Element Communities","year":2019,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Chromosomal and Genetic Variations","field":"Agricultural and Biological Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Compute Canada","keywords":"Genome; Transposable element; Biology; Evolutionary biology; Genome evolution; Abundance (ecology); Ecology; Genetics; Gene","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003628302,0.0002219926,0.0003396239,0.0007889952,0.0003231378,0.001014224,0.0002546745,0.0002937462,0.001892654],"category_scores_gemma":[0.002435888,0.0001590691,0.0002061615,0.0008403623,0.0003985353,0.0005028726,0.0007627059,0.0002981162,0.0003188313],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002622438,"about_ca_system_score_gemma":0.0002288411,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002546187,"about_ca_topic_score_gemma":0.003147563,"domain_scores_codex":[0.9994521,0.0001636841,0.00002414815,0.0002114613,0.00006241384,0.0000861721],"domain_scores_gemma":[0.9980721,0.0008357519,0.000518797,0.00008024515,0.0002082336,0.000284914],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000771911,0.000101608,0.7709191,0.000203276,0.0003116678,0.0004121337,0.0008043271,0.002329687,0.2087839,0.0009545219,0.0002716194,0.01413623],"study_design_scores_gemma":[0.00000741697,0.0001437252,0.9872664,0.00001167901,0.00006639466,0.000197381,0.0007066411,0.002736468,0.00730391,0.0007876154,0.0007534464,0.00001896363],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986393,0.0001491025,0.0005871858,0.00002377842,0.000002222123,0.000003595356,0.0002761826,0.00001423741,0.0003043759],"genre_scores_gemma":[0.9990587,0.00004636612,0.0004946379,0.0000202752,0.000002990062,0.000003867978,0.0002538015,0.000008162398,0.0001111959],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002546187,"threshold_uncertainty_score":0.006331563,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01403322815770808,"score_gpt":0.1804418569911393,"score_spread":0.1664086288334312,"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."}}