{"id":"W7163407189","doi":"10.5281/zenodo.20527796","title":"Cheiloneurus cupreicollis Ashmead 1886, stat.rev.","year":2023,"lang":"","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Coleoptera Taxonomy and Distribution","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Holotype; Seta; Sternum; Pedicel; Apex (geometry); Paratype","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":"codex-gemma-dda1882f352a","candidate_categories":["sts","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001148165,0.0003210592,0.000296745,0.0001298079,0.005569538,0.002128996,0.001477877,0.0002012282,0.04140546],"category_scores_gemma":[0.0006805995,0.0002115079,0.0001879685,0.002614734,0.0003069712,0.0004895591,0.002027153,0.0004514188,0.04490044],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000213832,"about_ca_system_score_gemma":0.000006451523,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001572166,"about_ca_topic_score_gemma":0.000007175834,"domain_scores_codex":[0.9964053,0.000631738,0.0005121403,0.0008844226,0.0006152313,0.0009511383],"domain_scores_gemma":[0.9982547,0.00009720547,0.0002175761,0.0003165581,0.0006643035,0.0004496926],"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":[0.0001453906,0.0002496039,0.00007191641,0.0000582071,0.00004590692,0.00003788542,0.0003864203,0.00003582612,0.005066033,0.00205852,0.1759058,0.8159385],"study_design_scores_gemma":[0.0004260539,0.0006726027,0.01252383,0.00005418058,0.00002915326,0.000048519,0.000783046,0.0008474416,0.0006183445,0.0003351992,0.9832686,0.0003929884],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9158895,0.0002562439,0.0002093938,0.005416635,0.0005327582,0.001181075,0.002565113,0.00198194,0.07196735],"genre_scores_gemma":[0.989377,0.0006808661,0.00001630713,0.0002017217,0.0005957688,1.550397e-7,0.007707932,0.00008614136,0.001334155],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8155455,"threshold_uncertainty_score":0.9989069,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.060107555549215,"score_gpt":0.2421847318118685,"score_spread":0.1820771762626535,"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."}}