{"id":"W6943868201","doi":"10.15468/dl.xyow5o","title":"GBIF Occurrence Download","year":2015,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Matching (statistics); Download; Field (mathematics); Range (aeronautics); Electronic records; Natural history","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":[0.0008511158,0.002074811,0.001644556,0.009016452,0.000895669,0.002294363,0.002502801,0.001785923,0.136213],"category_scores_gemma":[0.004901367,0.0008515432,0.0009992155,0.01389369,0.0003967832,0.00193323,0.002424852,0.001483686,0.1544543],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001851275,"about_ca_system_score_gemma":0.002574103,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03649743,"about_ca_topic_score_gemma":0.0635999,"domain_scores_codex":[0.9990498,0.00008781171,0.0001425839,0.0003002091,0.0002272022,0.0001923542],"domain_scores_gemma":[0.9975095,0.0005218922,0.0003296573,0.0005237112,0.0008287695,0.0002864315],"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":[0.0000446252,0.00001576416,0.0008668111,0.0007282802,0.00001797186,0.00002706568,0.00003812623,0.000146614,0.0001480225,0.0003824327,0.9953496,0.002234818],"study_design_scores_gemma":[0.00008027902,0.00001032914,0.00476314,0.0003051499,0.00001681543,0.0000547138,0.0001074014,0.0001819103,0.0002000724,0.0005320634,0.9937294,0.00001871688],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007992375,0.0000354386,0.00002990851,0.00002034971,0.000007623226,0.00000581625,0.9989434,0.0002494881,0.0006281274],"genre_scores_gemma":[0.0002040216,0.00003296194,0.0001576808,0.0000233835,0.000002992315,0.00003393255,0.9990983,0.00008763643,0.000359129],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.136213,"threshold_uncertainty_score":0.4556779,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02657548586180911,"score_gpt":0.2417492197140682,"score_spread":0.2151737338522591,"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."}}