{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001962508,0.0002550307,0.0005420693,0.00006669367,0.0003770826,0.00007387344,0.0008778032,0.0001740244,0.001147016],"category_scores_gemma":[0.00008399712,0.00009363039,0.0007559602,0.001005798,0.0002586088,0.00014521,0.0002899671,0.0003769432,0.00001230758],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003216558,"about_ca_system_score_gemma":0.00003644711,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007112597,"about_ca_topic_score_gemma":0.002708199,"domain_scores_codex":[0.9980044,0.0001781616,0.0005784926,0.0004537091,0.0004258669,0.0003593192],"domain_scores_gemma":[0.9986851,0.0001816046,0.0004546063,0.0004034625,0.0001651643,0.0001100562],"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":[0.000111977,0.00008083697,0.002237915,0.00001106606,0.0003750933,0.000001262352,0.0003340358,0.0000457881,0.9962977,0.00008990816,0.00004473075,0.0003697063],"study_design_scores_gemma":[0.0009073901,0.0002739636,0.8638977,0.00002407282,0.002101203,0.00004536314,0.0006010408,0.0001209087,0.01498561,0.0001496224,0.1163373,0.0005557871],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951244,0.0004813576,0.000004271581,0.0004325938,0.00127833,0.0005830529,0.001475157,0.00001918119,0.0006016283],"genre_scores_gemma":[0.9978018,0.00005470571,0.00005508961,0.0003051597,0.0008855102,0.00002950217,0.0001015301,0.000003244418,0.0007633978],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9813121,"threshold_uncertainty_score":0.9997661,"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."}}