{"id":"W6924768593","doi":"10.15468/dl.nhj39p","title":"Occurrence Download","year":2020,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Employer Branding and e-HRM","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Proteaceae; Boot camp; Quercus variabilis","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002004286,0.0003122629,0.0003050604,0.000126157,0.000374989,0.0006029152,0.000599832,0.0002645546,0.00134987],"category_scores_gemma":[0.0002134023,0.0003183606,0.0001708875,0.0005206864,0.0001061704,0.002706961,0.0005580717,0.0003029552,0.6053088],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001254436,"about_ca_system_score_gemma":0.00005092708,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001305259,"about_ca_topic_score_gemma":0.00002280632,"domain_scores_codex":[0.9985865,0.00001044604,0.0003685128,0.0002531151,0.0004776965,0.0003037213],"domain_scores_gemma":[0.9989936,0.00001060189,0.0003820943,0.0003462686,0.0002254738,0.00004198401],"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":[0.00006103734,0.0000221694,0.002545931,0.0004992186,0.00002660648,0.000003225028,0.00001230985,0.000005901396,1.897497e-8,8.815238e-7,0.9961081,0.0007146706],"study_design_scores_gemma":[0.0003853246,0.000007350688,0.0001580498,0.000005264268,0.00008907462,0.000001001931,0.00009029006,7.217852e-7,2.913826e-7,0.000004360361,0.9989192,0.0003391089],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003601311,0.000007666196,0.000004050243,0.0005969714,0.0008900097,0.0002365772,0.9969035,0.0002364283,0.0007646207],"genre_scores_gemma":[0.00008241309,0.00001698564,6.81069e-7,0.004593987,0.00002282256,0.000002706492,0.9952803,2.848051e-8,1.131237e-7],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.603959,"threshold_uncertainty_score":0.9999269,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02175112981451833,"score_gpt":0.2072404941065829,"score_spread":0.1854893642920646,"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."}}