{"id":"W2526418622","doi":"10.1371/journal.pone.0162624","title":"Towards a DNA Barcode Reference Database for Spiders and Harvestmen of Germany","year":2016,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Spider Taxonomy and Behavior Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":142,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ontario Ministry of Research and Innovation; Natural Sciences and Engineering Research Council of Canada; Bayerisches Staatsministerium für Bildung und Kultus, Wissenschaft und Kunst; Government of Canada; Genome Canada; Ontario Genomics; Bundesministerium für Bildung und Forschung; Ontario Genomics Institute","keywords":"DNA barcoding; Intraspecific competition; Opiliones; Biology; Fauna; Barcode; Spider; Interspecific competition; Zoology; Ecology; Evolutionary biology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007086703,0.00008212723,0.000135165,0.00001745135,0.00003322487,0.000004325179,0.00007634683,0.00004624771,0.0000129882],"category_scores_gemma":[0.0001047399,0.000058704,0.00002546978,0.0000167118,0.00009080827,0.000005032643,0.00009766834,0.00001827898,0.000001969143],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004214425,"about_ca_system_score_gemma":0.00002538156,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001265889,"about_ca_topic_score_gemma":0.00002884002,"domain_scores_codex":[0.9994739,0.00001292522,0.0001177111,0.0002025995,0.00006393428,0.0001288981],"domain_scores_gemma":[0.9996287,0.00001484654,0.00004936447,0.0002033936,0.00006224722,0.00004140523],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00005742209,0.000173514,0.004107627,0.00005735532,0.0000916034,4.353641e-7,0.00001108142,6.846301e-9,0.9922316,0.0001130586,0.0003321924,0.002824104],"study_design_scores_gemma":[0.0006031597,0.0002701545,0.01075754,0.00008119625,0.00009004754,8.095994e-7,0.0000251179,0.000001001446,0.9842811,0.00005162147,0.003728966,0.0001092987],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975346,0.0004984434,0.0007871068,0.0003361962,0.00001105948,0.0002029322,0.0002132981,0.000006110789,0.0004102621],"genre_scores_gemma":[0.9927775,0.0005336303,0.005880027,0.00009420721,0.00005403721,0.00008766073,0.00002930884,0.000008437269,0.0005352026],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007950515,"threshold_uncertainty_score":0.2393879,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08801078880644686,"score_gpt":0.2724569882673507,"score_spread":0.1844461994609038,"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."}}