{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001880576,0.0005205398,0.0004251095,0.001461483,0.0004202171,0.0007497754,0.0001830181,0.0004660207,0.0009709543],"category_scores_gemma":[0.0002687412,0.0001474642,0.0005983393,0.0009075255,0.0002335815,0.0007235546,0.0004412066,0.0005356215,0.0004186245],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001933204,"about_ca_system_score_gemma":0.0001653768,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003767512,"about_ca_topic_score_gemma":0.0005726091,"domain_scores_codex":[0.9998363,0.00001684558,0.00001585896,0.00006170854,0.00004134768,0.00002789082],"domain_scores_gemma":[0.9998409,0.00002526063,0.00004960226,0.00001370348,0.00003903684,0.00003141832],"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":[0.00009462689,0.00001991169,0.005018566,0.0001474247,0.00002865099,0.0002240228,0.0001335017,0.00007732125,0.9891021,0.00009444938,0.00007354722,0.004985779],"study_design_scores_gemma":[0.0000357842,0.0004586479,0.6375173,0.0001040941,0.0002894163,0.006606668,0.001513473,0.005644587,0.3224076,0.001434716,0.02392473,0.00006302053],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9871514,0.006156809,0.003076356,0.0002364893,0.00003784482,0.00002983773,0.001760329,0.0000804029,0.00147048],"genre_scores_gemma":[0.9772013,0.004562087,0.008856733,0.0003623614,0.00007153339,0.00006405819,0.00550209,0.00005047038,0.003329306],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001461483,"threshold_uncertainty_score":0.003248155,"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."}}