{"id":"W2091020630","doi":"10.1111/1755-0998.12102","title":"<scp>DNA</scp> barcoding species inventory of <scp>M</scp>icrogastrinae wasps (<scp>H</scp>ymenoptera, <scp>B</scp>raconidae) from a <scp>M</scp>exican tropical dry forest","year":2013,"lang":"en","type":"article","venue":"Molecular Ecology Resources","topic":"Hymenoptera taxonomy and phylogeny","field":"Agricultural and Biological Sciences","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; Agriculture and Agri-Food Canada","funders":"","keywords":"DNA barcoding; Biology; Subfamily; Species richness; Zoology; Ecology; Species diversity; Biodiversity; Gene; Genetics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.0009293058,0.001796999,0.002372204,0.0004082856,0.001302897,0.0007291339,0.00301497,0.001659206,0.0003377289],"category_scores_gemma":[0.004610956,0.001150182,0.001200083,0.001348195,0.001826529,0.0006690972,0.001545437,0.001794679,0.0009021396],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002969055,"about_ca_system_score_gemma":0.0001600647,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001247838,"about_ca_topic_score_gemma":0.002590899,"domain_scores_codex":[0.9887291,0.001612108,0.00220635,0.002639496,0.001273483,0.003539427],"domain_scores_gemma":[0.9853902,0.01010584,0.001521807,0.0009870236,0.000478927,0.0015162],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001294816,0.001361548,0.6999872,0.0001591917,0.001081736,0.0005506835,0.005703875,0.0002385074,0.2541528,0.001078612,0.0321092,0.003563762],"study_design_scores_gemma":[0.001315211,0.001817814,0.4765361,0.0001338204,0.0002828894,0.00005280097,0.01102579,0.000221827,0.04379716,0.001538431,0.4631054,0.0001727708],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9666976,0.003353299,0.00007600753,0.0003786092,0.0008186731,0.001861086,0.0004059381,0.0004022561,0.02600651],"genre_scores_gemma":[0.9828904,0.0003526036,0.0007549229,0.001979035,0.001571843,0.0005705053,0.000510581,0.00005925896,0.01131085],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4309962,"threshold_uncertainty_score":0.9999973,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01323352773726954,"score_gpt":0.1916499066459374,"score_spread":0.1784163789086678,"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."}}