{"id":"W4298088965","doi":"10.1093/jee/toac146","title":"Survey of <i>Trichogramma</i> (Hymenoptera: Trichogrammatidae) Natural Populations in Quebec Cranberry Bogs and Identification Using rDNA ITS-2 Sequence Analysis","year":2022,"lang":"en","type":"article","venue":"Journal of Economic Entomology","topic":"Insect-Plant Interactions and Control","field":"Agricultural and Biological Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut de Recherche et de Développement en Agroenvironnement; Ministère de l'Agriculture, des Pêcheries et de l'Alimentation; Université du Québec à Montréal","funders":"","keywords":"Trichogrammatidae; Biology; Trichogramma; Biological pest control; Hymenoptera; Lepidoptera genitalia; Botany; Bog; Ecology; Parasitoid; Peat","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0001402713,0.0002710636,0.0001550193,0.001046545,0.001257867,0.0004438431,0.0004254476,0.0001956351,0.00134993],"category_scores_gemma":[0.0002078185,0.0001397586,0.0001359466,0.0009736717,0.0003749368,0.000139635,0.0002127398,0.0002161911,0.0001218495],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006074579,"about_ca_system_score_gemma":0.003232534,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9682047,"about_ca_topic_score_gemma":0.9902383,"domain_scores_codex":[0.9998639,0.000007927549,0.000005632604,0.00003608955,0.00004007639,0.00004642783],"domain_scores_gemma":[0.9996301,0.00002464936,0.00008861358,0.00001028328,0.0001416754,0.0001046072],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001066762,0.00009161063,0.9315541,0.0001691904,0.00005718245,0.0007186817,0.003567172,0.0002493624,0.03883335,0.0001108586,0.001216991,0.02332481],"study_design_scores_gemma":[0.000001432857,0.00002158265,0.9979795,0.00001047173,0.000004596877,0.00008590329,0.0006086871,0.0001034284,0.0002630582,0.000001590703,0.00091656,0.000003250634],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997278,0.0003930072,0.0001014084,0.00003163639,0.000002487496,0.0000409161,0.0009596748,0.000007437609,0.001185406],"genre_scores_gemma":[0.9961737,0.0003755413,0.0005655077,0.00005726372,0.000002108935,0.00002596553,0.001015859,0.000002468266,0.001781706],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03179526,"threshold_uncertainty_score":0.06396496,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05040339658323719,"score_gpt":0.2914495684275568,"score_spread":0.2410461718443196,"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."}}