{"id":"W1973623164","doi":"10.1016/j.jip.2013.05.007","title":"Ultrastructure and molecular characterization of the microsporidium, Nosema chrysoperlae sp. nov., from the green lacewing, Chrysoperla carnea (Stephens) (Neuroptera: Chrysopidae) used for biological pest control","year":2013,"lang":"en","type":"article","venue":"Journal of Invertebrate Pathology","topic":"Parasitic Infections and Diagnostics","field":"Immunology and Microbiology","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"Vineland Research and Innovation Centre; Saint Mary's University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Biology; Polar filament; Chrysopidae; Microsporidia; Chrysoperla carnea; Spore; Nosema; Botany; Biological pest control; Ultrastructure; Neuroptera; Zoology; Larva","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003307483,0.0002515248,0.0005724878,0.00006545629,0.0002316298,0.00003351068,0.0003624097,0.000373,0.0001796336],"category_scores_gemma":[0.0003955704,0.0001344277,0.000213836,0.0001209085,0.000586182,0.0001251626,0.00006776648,0.0004707747,0.00002368305],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002474915,"about_ca_system_score_gemma":0.00009448927,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001503753,"about_ca_topic_score_gemma":0.00002122556,"domain_scores_codex":[0.9981671,0.000535844,0.0006830984,0.0002408901,0.00005656872,0.0003165103],"domain_scores_gemma":[0.9980627,0.00051367,0.0006617086,0.0002941912,0.0004258923,0.00004180081],"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":[0.00006473769,0.00006421671,0.1311761,0.000009756704,0.000138054,0.00001528446,0.0003315891,0.000006586967,0.8671032,0.0002931727,0.0003409252,0.0004563867],"study_design_scores_gemma":[0.004326646,0.0007181547,0.7092984,0.0000722044,0.0002756471,0.001503436,0.0001542964,0.000103248,0.2802407,0.0005257759,0.002527079,0.0002544627],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9928308,0.0007034813,0.002280348,0.00202916,0.001299163,0.0005786371,0.0002399573,0.00001033914,0.00002812434],"genre_scores_gemma":[0.9969351,0.0001339736,0.0001344485,0.002466798,0.0001800655,0.00002187296,0.0000539898,0.00001980865,0.0000539289],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5868625,"threshold_uncertainty_score":0.54818,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007785196248139998,"score_gpt":0.206509140336899,"score_spread":0.198723944088759,"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."}}