{"id":"W6949918418","doi":"10.5281/zenodo.3767636","title":"Figure 3 in Prospects for using DNA barcoding to identify spiders in species-rich genera","year":2009,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Calibration and Measurement Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"DNA barcoding; Intraspecific competition; Divergence (linguistics); Genetic distance; Taxonomy (biology); Genetic divergence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001330188,0.0006325,0.0003496694,0.002354614,0.0006304162,0.001736866,0.0011609,0.001042894,0.1276782],"category_scores_gemma":[0.002519718,0.0003233862,0.0004629049,0.001868457,0.0005873982,0.00177739,0.0009098523,0.0007150549,0.0423645],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006590424,"about_ca_system_score_gemma":0.0005215224,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006319566,"about_ca_topic_score_gemma":0.01516447,"domain_scores_codex":[0.999552,0.00006671849,0.00001783263,0.0001466415,0.0001691361,0.00004770384],"domain_scores_gemma":[0.9981097,0.0004377876,0.0001653069,0.0003294721,0.0007825324,0.0001751588],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003381697,0.00006449411,0.01231802,0.0007583948,0.00005622504,0.0003086994,0.0002879566,0.001408641,0.02322514,0.02062104,0.4179532,0.5226601],"study_design_scores_gemma":[0.00005613656,0.00005301042,0.05311748,0.0003524327,0.00006261745,0.00090743,0.0004282075,0.006047137,0.01466811,0.02913401,0.8950909,0.00008260208],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.04306985,0.006862047,0.2332029,0.02369198,0.00712832,0.0004858375,0.07180676,0.02539926,0.5883529],"genre_scores_gemma":[0.225736,0.005001163,0.3509057,0.004533989,0.001174301,0.0003587851,0.06227997,0.005093294,0.3449168],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1276782,"threshold_uncertainty_score":0.4271261,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05813615279693486,"score_gpt":0.2748246281272777,"score_spread":0.2166884753303429,"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."}}