{"id":"W2066639559","doi":"10.1371/journal.pone.0106940","title":"Building-Up of a DNA Barcode Library for True Bugs (Insecta: Hemiptera: Heteroptera) of Germany Reveals Taxonomic Uncertainties and Surprises","year":2014,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Hemiptera Insect Studies","field":"Agricultural and Biological Sciences","cited_by":131,"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 Bildung und Forschung; Deutsche Forschungsgemeinschaft; Government of Canada; Genome Canada; Ontario Genomics; Ontario Genomics Institute","keywords":"Heteroptera; Miridae; DNA barcoding; Biology; Hemiptera; Taxon; Zoology; Ecology","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":[0.001510748,0.0006508975,0.0006307903,0.001647705,0.0004313185,0.001041385,0.0005189184,0.0005750377,0.000696444],"category_scores_gemma":[0.003553976,0.0003263091,0.0004837271,0.0007104963,0.0006591081,0.001064761,0.0008140877,0.0004783472,0.0007574488],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004057708,"about_ca_system_score_gemma":0.0007926875,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001657646,"about_ca_topic_score_gemma":0.002696617,"domain_scores_codex":[0.9985583,0.0002784214,0.0001281094,0.0004115789,0.0004772342,0.0001463264],"domain_scores_gemma":[0.998282,0.0004775286,0.0004200267,0.0002855357,0.0003710857,0.000163819],"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":[0.0004873349,0.0001487673,0.1013065,0.001319634,0.000225242,0.000904039,0.002143787,0.002188523,0.6007036,0.00159698,0.001617734,0.287358],"study_design_scores_gemma":[0.00003616367,0.002086458,0.5445325,0.0007334074,0.0006052331,0.00375671,0.002254217,0.01351491,0.3584543,0.002048128,0.07177638,0.0002015177],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9226575,0.00486007,0.06536722,0.0006587785,0.000157593,0.0001791672,0.003739504,0.0005765099,0.00180345],"genre_scores_gemma":[0.858214,0.003298923,0.1257688,0.0005424637,0.00007241517,0.0001769221,0.009606618,0.0001623415,0.002157522],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001657646,"threshold_uncertainty_score":0.007989705,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03939336048857448,"score_gpt":0.2120744016722627,"score_spread":0.1726810411836883,"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."}}