{"id":"W6912598021","doi":"10.5281/zenodo.6197470","title":"Exaeretia ciniflonella Lienig & Zeller 1846","year":2010,"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":"Wingspan; Male genitalia; Margin (machine learning); China","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":[0.0001037045,0.00103279,0.0003623881,0.001185077,0.001196902,0.0005182425,0.0006652051,0.0006508332,0.0104123],"category_scores_gemma":[0.0002335635,0.000192202,0.0001817685,0.0006671851,0.0003967836,0.0008413013,0.0008758532,0.0005546469,0.00383907],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006999529,"about_ca_system_score_gemma":0.0003509869,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01009646,"about_ca_topic_score_gemma":0.01492919,"domain_scores_codex":[0.9998549,0.00001407832,0.00001210666,0.00005486731,0.00003672872,0.00002727409],"domain_scores_gemma":[0.9999193,0.000009381852,0.00002731849,0.000007259946,0.00002738992,0.00000933189],"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":[0.0004772928,0.0001338721,0.02549441,0.002462437,0.00007660639,0.004481607,0.002542331,0.001434796,0.07168005,0.005690632,0.02894771,0.8565784],"study_design_scores_gemma":[0.00007918506,0.0001778428,0.1166862,0.0007158272,0.00007534427,0.00957299,0.001219052,0.0005083784,0.008411219,0.0009912757,0.8615072,0.00005541277],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3136314,0.06623764,0.006351595,0.001222446,0.001327553,0.0005769788,0.00540568,0.001095881,0.6041508],"genre_scores_gemma":[0.9043203,0.01671804,0.006341733,0.0008242583,0.0004017708,0.0001849936,0.003812277,0.0000784483,0.06731813],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0104123,"threshold_uncertainty_score":0.03483266,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01880537102113269,"score_gpt":0.2284164232653731,"score_spread":0.2096110522442404,"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."}}