{"id":"W6911473886","doi":"10.5281/zenodo.10913985","title":"Cilix glaucata","year":2020,"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":"Bombyx mori; Bombycidae; Bombyx; Central asia; Southeast asia","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":[0.0001245413,0.0007891543,0.0003256963,0.002435276,0.001762622,0.0005299703,0.0006262163,0.000538482,0.05471203],"category_scores_gemma":[0.0002702106,0.0002093748,0.0003486287,0.001383728,0.000633314,0.0006777612,0.0009356278,0.0007684533,0.02503666],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001076476,"about_ca_system_score_gemma":0.0005035935,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04192703,"about_ca_topic_score_gemma":0.08535025,"domain_scores_codex":[0.9998099,0.00001224681,0.00001678637,0.00006301812,0.00006811494,0.0000299659],"domain_scores_gemma":[0.999866,0.00001582588,0.00004634888,0.00001771644,0.00003855621,0.00001562075],"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":[0.0001775615,0.00007268065,0.0169849,0.0006348469,0.00003823782,0.001525177,0.0009674325,0.0003270346,0.01153265,0.007868832,0.06420562,0.895665],"study_design_scores_gemma":[0.00002818564,0.0001212997,0.1687813,0.0003290034,0.00005536308,0.003381653,0.0004795136,0.0001375647,0.00181159,0.001672297,0.8231773,0.00002497986],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.044267,0.01919032,0.003054704,0.001096541,0.001057816,0.0003707823,0.008557768,0.001122973,0.9212821],"genre_scores_gemma":[0.4753727,0.01441092,0.008756926,0.002255788,0.0008360759,0.0003067616,0.02420562,0.0002775145,0.4735776],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05471203,"threshold_uncertainty_score":0.1830299,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03482632265778878,"score_gpt":0.233199162873402,"score_spread":0.1983728402156132,"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."}}