{"id":"W6931684624","doi":"10.5281/zenodo.8211610","title":"Endotricha costaemaculalis Christoph 1881","year":2023,"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":"China; Type (biology); Natural (archaeology); Period (music)","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":[0.00007946511,0.0005010315,0.0001990536,0.001053145,0.001660874,0.0003651153,0.0004295261,0.0006285243,0.01518548],"category_scores_gemma":[0.0004444507,0.0001665897,0.00009826858,0.0007309038,0.0006505902,0.0008680806,0.0007512691,0.0004714468,0.002972834],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001020712,"about_ca_system_score_gemma":0.0005099878,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01970168,"about_ca_topic_score_gemma":0.0351099,"domain_scores_codex":[0.9998122,0.00001320247,0.00000938482,0.00005187708,0.00006771243,0.00004564221],"domain_scores_gemma":[0.999849,0.00003121627,0.00004915,0.00001146279,0.00004059992,0.00001855083],"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":[0.0004095889,0.000108704,0.04981447,0.001143249,0.00006913913,0.006883065,0.004047657,0.00188975,0.02694793,0.01334972,0.08379258,0.8115441],"study_design_scores_gemma":[0.00004252695,0.0001324489,0.2976394,0.0004859778,0.00006153969,0.009215863,0.001564121,0.0007163283,0.004349829,0.001370972,0.6843801,0.00004091947],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3277411,0.012444,0.003616732,0.0008419551,0.0006237641,0.0004441683,0.003328817,0.0003944224,0.6505651],"genre_scores_gemma":[0.9523664,0.0033913,0.001794313,0.0003586345,0.0002179591,0.00007504737,0.0006843684,0.00002828224,0.04108363],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01970168,"threshold_uncertainty_score":0.0508005,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03063360617684475,"score_gpt":0.2464657690515543,"score_spread":0.2158321628747096,"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."}}