{"id":"W6893220938","doi":"10.5281/zenodo.14659077","title":"Glypta haesitator Gravenhorst 1829","year":2025,"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":"Subfamily; Population; Host (biology); Confusion","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":[0.0001049068,0.0006859429,0.0003131701,0.001286368,0.001586545,0.000327382,0.0004221447,0.0004896912,0.01081953],"category_scores_gemma":[0.0003210525,0.0002190986,0.0001594748,0.0007406958,0.000516353,0.001087936,0.000578702,0.0005545967,0.003796747],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005115643,"about_ca_system_score_gemma":0.0002413996,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008676667,"about_ca_topic_score_gemma":0.01613415,"domain_scores_codex":[0.9998825,0.000009274456,0.00001384119,0.00005074526,0.00003292146,0.00001076426],"domain_scores_gemma":[0.9998828,0.00002059134,0.00004633556,0.00001379775,0.0000220753,0.00001438386],"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":[0.0007446766,0.00015284,0.06604338,0.001493388,0.0002274508,0.005882718,0.00491295,0.001813999,0.06873387,0.005361964,0.03637814,0.8082546],"study_design_scores_gemma":[0.0001584667,0.0003789531,0.5629517,0.0006500819,0.000350475,0.01530332,0.002564375,0.0007214692,0.006025086,0.002366744,0.4084675,0.00006189221],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5677074,0.0210996,0.005409037,0.0009120155,0.000966272,0.0006574162,0.01073308,0.0006879667,0.3918271],"genre_scores_gemma":[0.9494739,0.004376946,0.005007091,0.0004738329,0.000290921,0.0001715063,0.003691587,0.00004869025,0.03646561],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01081953,"threshold_uncertainty_score":0.03619492,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01792526877845003,"score_gpt":0.2395002649591808,"score_spread":0.2215749961807308,"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."}}