{"id":"W6906246836","doi":"10.15468/x8atwb","title":"Resolving the taxonomy of the Merodon dobrogensis species subgroup (Diptera: Syrphidae), with the description of a new species","year":2019,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Taxonomy (biology); Species complex; Species group; Animal species; Species groups; Mainland","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":[0.000536386,0.0003114993,0.0003594634,0.005056504,0.0004848927,0.0006861119,0.0005489201,0.0002765861,0.005072408],"category_scores_gemma":[0.002203083,0.0001848207,0.0001893384,0.00389525,0.0002004874,0.0005684887,0.001205651,0.0004288359,0.001839903],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006316034,"about_ca_system_score_gemma":0.001127949,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02323275,"about_ca_topic_score_gemma":0.07330836,"domain_scores_codex":[0.9995078,0.00005944837,0.00006631768,0.0001246414,0.0001609782,0.00008076662],"domain_scores_gemma":[0.9992337,0.0001017411,0.0002347828,0.00009925407,0.0002761936,0.00005432666],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004393578,0.00009158859,0.5348816,0.002756172,0.0001685027,0.0004547403,0.003823659,0.001358983,0.01486691,0.003189762,0.114233,0.3237357],"study_design_scores_gemma":[0.0000349897,0.00005190777,0.5670692,0.0008430716,0.0001161098,0.0004087481,0.003836149,0.001849788,0.001882682,0.0008467823,0.423025,0.00003551303],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.7160264,0.005953332,0.003799317,0.001287036,0.0002400984,0.0002577591,0.245829,0.0005413988,0.02606575],"genre_scores_gemma":[0.5904523,0.002805176,0.01476702,0.0002664806,0.00007321392,0.0003403496,0.3841963,0.0001152008,0.006984037],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.02323275,"threshold_uncertainty_score":0.04619503,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04255613400735276,"score_gpt":0.1973032815053139,"score_spread":0.1547471474979611,"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."}}