{"id":"W4327715146","doi":"10.3390/toxins15030224","title":"Functional and Proteomic Insights into Aculeata Venoms","year":2023,"lang":"en","type":"article","venue":"Toxins","topic":"Insect and Pesticide Research","field":"Agricultural and Biological Sciences","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Australian Research Council; Consejería de Sanidad, Comunidad de Madrid; Norges Forskningsråd; Commonwealth Scientific and Industrial Research Organisation; Canada Excellence Research Chairs, Government of Canada; Fundo para o Desenvolvimento das Ciências e da Tecnologia","keywords":"Venom; Biology; Aculeata; Proteases; Transcriptome; Zoology; Toxicology; Biochemistry; Hymenoptera; Enzyme; Gene; Gene expression","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009131604,0.00005163576,0.00005632063,0.00001319904,0.0001934644,0.00003520856,0.00007346037,0.00004245004,0.0007741616],"category_scores_gemma":[0.00002778209,0.00001777027,0.00001951161,0.0002643111,0.00004295007,0.00005391104,0.00007160801,0.00007513376,0.0005934711],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009848152,"about_ca_system_score_gemma":0.000006832569,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000173451,"about_ca_topic_score_gemma":0.0002702587,"domain_scores_codex":[0.9995095,0.00002449416,0.00005754108,0.0001323943,0.0001258553,0.0001501973],"domain_scores_gemma":[0.9998129,0.00007174222,0.00001044155,0.00002455731,0.00001974954,0.00006062929],"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":[0.00002817422,0.0000238798,0.0043535,0.000009320941,0.000007952842,0.00001360009,0.0002450864,0.000003047125,0.9374279,0.001499389,0.00431422,0.05207389],"study_design_scores_gemma":[0.00008725617,0.000178061,0.9582258,0.000007965803,0.000002465339,0.000004403878,0.00009174237,0.000249527,0.006420977,0.006377297,0.02825393,0.0001005218],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967669,0.0000674038,0.000001130127,0.001148215,0.00005359117,0.0001100951,0.000004561868,0.00006979142,0.001778343],"genre_scores_gemma":[0.9981706,0.00005790744,0.00001145802,0.00006617383,0.0002653351,0.00001828734,0.0000604063,4.583062e-7,0.001349416],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9538723,"threshold_uncertainty_score":0.8476527,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04479741148198534,"score_gpt":0.2576378520701776,"score_spread":0.2128404405881923,"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."}}