{"id":"W2052333144","doi":"10.1139/g10-004","title":"Mitochondrial genome analysis of the predatory mite<i>Phytoseiulus persimilis</i>and a revisit of the<i>Metaseiulus occidentalis</i>mitochondrial genome","year":2010,"lang":"en","type":"article","venue":"Genome","topic":"Insect-Plant Interactions and Control","field":"Agricultural and Biological Sciences","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Vlaamse regering; Universiteit Gent","keywords":"Genome; Biology; Mitochondrial DNA; Phytoseiidae; Genetics; Gene; Genome size; Gene density; Mite; Genome evolution; Predation; Botany; Ecology; Predator","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.00004712234,0.0002020449,0.0001021751,0.0003114072,0.000155816,0.0001695357,0.000127325,0.0001557505,0.0006867763],"category_scores_gemma":[0.0001325659,0.00009041773,0.0002453145,0.0001685074,0.00008698221,0.0001158107,0.00014579,0.0002103146,0.0002413384],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001810859,"about_ca_system_score_gemma":0.0001762657,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00212704,"about_ca_topic_score_gemma":0.005102586,"domain_scores_codex":[0.9999701,0.000002443711,0.000001956069,0.00001074597,0.000007874866,0.000006975959],"domain_scores_gemma":[0.999909,0.00001482738,0.00002739737,0.00001045768,0.00001847403,0.00001971555],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00007581034,0.00001295609,0.005692278,0.00008330394,0.00001645876,0.0001386694,0.00009343026,0.00006122207,0.9900829,0.00003494162,0.00002272378,0.003685342],"study_design_scores_gemma":[0.00002636563,0.0003905702,0.6619011,0.00004463687,0.0001918768,0.002162992,0.0005794223,0.00142737,0.322216,0.0001375227,0.01089776,0.00002441257],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977328,0.00039935,0.0009687155,0.00002555636,0.000005205283,0.00000799268,0.0005364413,0.00001620928,0.0003076655],"genre_scores_gemma":[0.9878858,0.0005894602,0.005615988,0.00004898263,0.000008897043,0.00001828381,0.004606364,0.00002417328,0.001201962],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00212704,"threshold_uncertainty_score":0.004229367,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006585952930728219,"score_gpt":0.1936669636480484,"score_spread":0.1870810107173202,"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."}}