{"id":"W6911865299","doi":"10.5281/zenodo.13772908","title":"Hymenoptera","year":2024,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Bayesian Methods and Mixture Models","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Cooke Aquaculture (Canada)","funders":"","keywords":"Hymenoptera; Nest (protein structural motif); Key (lock); Burrow; Predation","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":["scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006983319,0.0001002966,0.00008712267,0.0001874071,0.0008810022,0.002234942,0.001372386,0.0000425849,0.002407665],"category_scores_gemma":[0.00009319217,0.00009452447,0.00004665034,0.0005942907,0.0000527615,0.0004910215,0.001082564,0.0002131075,0.007618911],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006188896,"about_ca_system_score_gemma":0.000003474084,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002596569,"about_ca_topic_score_gemma":2.065418e-8,"domain_scores_codex":[0.9986829,0.0002278972,0.0001447884,0.0004310776,0.0002391492,0.0002742235],"domain_scores_gemma":[0.9991824,0.00002302032,0.00002203299,0.0004912693,0.0001482171,0.0001330394],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00000192487,0.00001700144,3.84902e-8,0.00002405543,0.0000117692,0.00002548735,0.0006307715,0.00000255282,0.001411511,0.3051338,0.0846372,0.6081038],"study_design_scores_gemma":[0.0000840132,0.00008215961,0.00001777683,0.00002766552,0.000003776695,0.000152769,0.000008773383,0.01041064,0.0005260409,0.01259138,0.9759761,0.0001188759],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0001855726,0.0002754454,0.8050072,0.001498596,0.0002071619,0.0001143281,0.00001489919,0.001491111,0.1912057],"genre_scores_gemma":[0.7001355,0.0002926529,0.2838461,0.001406447,0.0008065467,8.601004e-8,0.0003896407,0.002856396,0.01026665],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8913389,"threshold_uncertainty_score":0.9988008,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03338272945043275,"score_gpt":0.2658754224415468,"score_spread":0.2324926929911141,"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."}}