{"id":"W3094388519","doi":"10.3897/dez.67.56163","title":"A DNA barcode library for ground beetles of Germany: the genus Agonum Bonelli, 1810 (Insecta, Coleoptera, Carabidae)","year":2020,"lang":"en","type":"article","venue":"Deutsche Entomologische Zeitschrift","topic":"Coleoptera Taxonomy and Distribution","field":"Agricultural and Biological Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ontario Ministry of Research and Innovation; Natural Sciences and Engineering Research Council of Canada; Bundesministerium für Wissenschaft und Forschung; Government of Canada; Genome Canada; Ontario Genomics; Bundesministerium für Bildung und Forschung; Ontario Genomics Institute","keywords":"Barcode; DNA barcoding; Biology; Genus; Biodiversity; Intraspecific competition; Zoology; Ecology; Computer science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0003727386,0.0007180345,0.0006124378,0.003029203,0.0006081293,0.0005587661,0.0004673029,0.0004981238,0.003324153],"category_scores_gemma":[0.001249104,0.0003104832,0.0004856396,0.002709533,0.0002901653,0.0005022776,0.0007320024,0.0005574038,0.003438381],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000441666,"about_ca_system_score_gemma":0.001176256,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002274072,"about_ca_topic_score_gemma":0.00466065,"domain_scores_codex":[0.9993275,0.00005923162,0.0000729043,0.0002269534,0.0002305371,0.00008281949],"domain_scores_gemma":[0.9994624,0.00009537589,0.0001799974,0.00006950646,0.0001259406,0.0000667339],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0006276453,0.0001515179,0.01010911,0.001924793,0.0001445647,0.0004512535,0.0009472152,0.0006646994,0.8076566,0.00093026,0.00903571,0.1673567],"study_design_scores_gemma":[0.0001307375,0.001191444,0.2427313,0.0007641896,0.0007970936,0.003342914,0.0006680373,0.00434297,0.3592474,0.0008803346,0.3857172,0.0001862562],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5850111,0.008286451,0.1233045,0.0005679183,0.000424381,0.00150818,0.2623396,0.005713792,0.01284414],"genre_scores_gemma":[0.2474791,0.005710398,0.2339538,0.0005275946,0.0001515589,0.001354504,0.497982,0.0009372208,0.01190397],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003324153,"threshold_uncertainty_score":0.01112038,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0312745396305348,"score_gpt":0.2231818216629846,"score_spread":0.1919072820324498,"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."}}