{"id":"W6887341202","doi":"10.15468/wr6m7p","title":"New Staphylinidae (Coleoptera) records with new collection data from New Brunswick, Canada: Oxyporinae","year":2012,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Data collection; Identification (biology); Historical record; Data quality","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0006499395,0.002378232,0.001560882,0.01166094,0.002279533,0.002003909,0.002906496,0.000999238,0.02955434],"category_scores_gemma":[0.004107601,0.001247044,0.0009915124,0.02865267,0.0005581309,0.0009711453,0.001168339,0.00167442,0.01448908],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01426125,"about_ca_system_score_gemma":0.0346923,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9692001,"about_ca_topic_score_gemma":0.9842143,"domain_scores_codex":[0.9990171,0.0000294028,0.0001038484,0.0001728847,0.000359535,0.0003172175],"domain_scores_gemma":[0.9939008,0.0002920445,0.0005977849,0.000463079,0.004213072,0.0005332032],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001203508,0.00002327618,0.01167228,0.001293031,0.0001023141,0.00005995855,0.0001724196,0.0004300266,0.0003080382,0.0005830474,0.9784604,0.006774785],"study_design_scores_gemma":[0.0001519378,0.000008971492,0.09950555,0.0009304523,0.0001101692,0.00007681415,0.0003941325,0.0003555399,0.0006419594,0.0002939661,0.8974708,0.00005976989],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000355336,0.00008198748,0.00003182672,0.00001328285,0.000009284238,0.00001072795,0.9987926,0.00004693812,0.000658068],"genre_scores_gemma":[0.001560604,0.0002211487,0.0002874716,0.00002728092,0.000003550806,0.00006910671,0.9962555,0.00002894359,0.001546425],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03079993,"threshold_uncertainty_score":0.1034731,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03179574554402989,"score_gpt":0.2271034939486432,"score_spread":0.1953077484046133,"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."}}