{"id":"W4386122083","doi":"10.11646/zootaxa.5337.1.1","title":"The morphological diversity of Mymaridae (Hymenoptera): an atlas of scanning electron micrographs. Part 2. Structure of the mesosoma","year":2023,"lang":"en","type":"article","venue":"Zootaxa","topic":"Hymenoptera taxonomy and phylogeny","field":"Agricultural and Biological Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada; Statistics Canada; Natural Resources Canada","funders":"","keywords":"Biology; Hymenoptera; Atlas (anatomy); Electron micrographs; Micrograph; Zoology; Scanning electron microscope; Anatomy; Electron microscope; Optics; Physics","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0002015067,0.0001141072,0.000192386,0.00001058579,0.0004067846,0.00001376567,0.000618126,0.00009206589,0.0001090065],"category_scores_gemma":[0.00002607681,0.00003366411,0.0001299988,0.0005268413,0.0002917191,0.00005003295,0.000350038,0.0001350339,0.000002037075],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007444309,"about_ca_system_score_gemma":0.000007991615,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004063322,"about_ca_topic_score_gemma":0.0005407009,"domain_scores_codex":[0.9989501,0.0001579126,0.0002381738,0.0001865234,0.000209595,0.0002577055],"domain_scores_gemma":[0.9993461,0.0001722251,0.0002415821,0.0001321431,0.00006241603,0.00004557688],"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":[0.0001046909,0.0000730421,0.2936151,0.00001197726,0.00006069672,0.000001959587,0.0003066762,0.00002943665,0.6487229,0.0005931723,0.000757732,0.05572263],"study_design_scores_gemma":[0.0001515621,0.0005947382,0.7291463,0.00002392757,0.00003229913,0.000005120213,0.0003538761,0.00001727818,0.2266754,0.0005810829,0.04227711,0.0001413623],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987756,0.0001448754,2.079183e-7,0.0002886643,0.0001028276,0.000162134,0.000111799,0.00001878386,0.0003950997],"genre_scores_gemma":[0.9997405,0.00003932668,0.00001856357,0.00004208371,0.00006388527,0.000002328372,0.00002159513,6.224427e-7,0.00007103234],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4355312,"threshold_uncertainty_score":0.3128699,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01813163293741036,"score_gpt":0.2127109239736033,"score_spread":0.1945792910361929,"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."}}