{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002238415,0.001383437,0.0006011477,0.0008841104,0.001041214,0.001598421,0.0005786645,0.0007426176,0.2445827],"category_scores_gemma":[0.0008160442,0.0002538762,0.0003315921,0.001155959,0.0002926005,0.001695014,0.000865381,0.0007775383,0.1196108],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006192679,"about_ca_system_score_gemma":0.0004239579,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003321774,"about_ca_topic_score_gemma":0.005494952,"domain_scores_codex":[0.9996705,0.00004818275,0.00002824215,0.00008161226,0.0001056359,0.00006591846],"domain_scores_gemma":[0.9998159,0.00003135516,0.00005167719,0.00001829832,0.00005297715,0.0000298125],"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":[0.0001731168,0.0001417929,0.006646438,0.001664786,0.00005078479,0.0005378996,0.001174175,0.00009800906,0.001970107,0.006909795,0.4537315,0.5269017],"study_design_scores_gemma":[0.00001310997,0.0000431963,0.007880819,0.0002757005,0.00001080814,0.0006998338,0.0003375389,0.00003741913,0.00009502366,0.001042196,0.9895554,0.000009034691],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01579687,0.05581209,0.00225619,0.002577224,0.002283426,0.0007392303,0.02844601,0.001660749,0.8904282],"genre_scores_gemma":[0.1953349,0.0528865,0.01080555,0.008009291,0.001823244,0.0009239475,0.03628882,0.0004604626,0.6934672],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2445827,"threshold_uncertainty_score":0.8182106,"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."}}