{"id":"W6893603406","doi":"10.5281/zenodo.4447546","title":"Synergus erinacei Gillette 1896","year":2021,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Lepidoptera: Biology and Taxonomy","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Paratype; Shrew; Salientia; Nature Conservation","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0001621364,0.0008803051,0.0004542977,0.00142495,0.001415508,0.000414002,0.0004919241,0.0006576484,0.02559481],"category_scores_gemma":[0.0003052188,0.0002817675,0.0001667855,0.0009339695,0.0004876009,0.001393621,0.0007890276,0.0006632,0.007341145],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008828082,"about_ca_system_score_gemma":0.0003854304,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007366746,"about_ca_topic_score_gemma":0.01609775,"domain_scores_codex":[0.9997777,0.00002915123,0.00001760389,0.0000635844,0.00008108778,0.00003083077],"domain_scores_gemma":[0.9999064,0.00001495686,0.00003239089,0.000007343958,0.00002695387,0.00001189222],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0004661694,0.0001300882,0.01553018,0.001634541,0.00008718636,0.00312146,0.002587777,0.0008774746,0.02602701,0.008883571,0.1298298,0.8108248],"study_design_scores_gemma":[0.00003745873,0.0001272661,0.08559965,0.0006507533,0.00006260988,0.006779414,0.001120622,0.0002301652,0.003470265,0.0007491031,0.901138,0.00003464032],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1852951,0.03216065,0.008336912,0.001828422,0.001926201,0.0006794909,0.007974218,0.0005616634,0.7612373],"genre_scores_gemma":[0.8330928,0.01456399,0.01078155,0.001314732,0.000811543,0.0002571706,0.005570815,0.0001278034,0.1334795],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02559481,"threshold_uncertainty_score":0.08562315,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02108407267060913,"score_gpt":0.2274203340582888,"score_spread":0.2063362613876797,"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."}}