{"id":"W2924882889","doi":"10.1093/biomethods/bpz002","title":"Discrimination between Asian populations of the parasitoid wasp Ganaspis cf. brasiliensis using a simple MALDI-TOF MS-based method for use with insects","year":2019,"lang":"en","type":"article","venue":"Biology Methods and Protocols","topic":"Insect behavior and control techniques","field":"Agricultural and Biological Sciences","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Australian Centre for International Agricultural Research; Agriculture and Agri-Food Canada; Ministry of Agriculture of the People's Republic of China; Department for International Development","keywords":"Biology; Parasitoid; Ovipositor; Drosophila suzukii; Population; PEST analysis; Hymenoptera; Zoology; Drosophila (subgenus); Botany; Ecology; Drosophila melanogaster; Genetics; Drosophilidae; Demography","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.0002552616,0.0006037339,0.0001928399,0.0007622427,0.0002153817,0.0003199266,0.0002111756,0.0003144685,0.000512708],"category_scores_gemma":[0.0003595455,0.0001276409,0.0001855398,0.0002604667,0.0002622393,0.0002233501,0.0002054474,0.000197286,0.0001914426],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001396607,"about_ca_system_score_gemma":0.0001074893,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002627857,"about_ca_topic_score_gemma":0.00535176,"domain_scores_codex":[0.9998015,0.00003027914,0.00001990899,0.00007604795,0.00005400327,0.00001834352],"domain_scores_gemma":[0.999832,0.00003128464,0.00004995568,0.00001032967,0.00004917885,0.00002716859],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001112602,0.00002572354,0.01475316,0.0000499899,0.00001676871,0.00007678306,0.00007308087,0.00003614492,0.9797897,0.00002179467,0.00002755024,0.005017896],"study_design_scores_gemma":[0.00004594337,0.0008004963,0.5575699,0.00004713495,0.0001805982,0.002326763,0.0008716237,0.004677404,0.4310532,0.0001276497,0.002248808,0.00005044174],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.99319,0.0004922252,0.004487172,0.00005198131,0.00001584759,0.00007814282,0.0004827842,0.00006109523,0.001140751],"genre_scores_gemma":[0.9848117,0.0002746297,0.01411936,0.00004918812,0.000006705651,0.00004047312,0.0003790661,0.000007058379,0.0003119349],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002627857,"threshold_uncertainty_score":0.005225122,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.144316907172905,"score_gpt":0.4449668910448853,"score_spread":0.3006499838719803,"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."}}