{"id":"W6943751383","doi":"10.15468/dl.mepaq0","title":"Occurrence Download","year":2016,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Information system; Data archive","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001018013,0.002008023,0.001656036,0.005196749,0.0009168513,0.002627019,0.003072056,0.002068339,0.139024],"category_scores_gemma":[0.006019375,0.0009039704,0.001209772,0.01069636,0.0004303825,0.002346269,0.002616475,0.002026233,0.1986519],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001568153,"about_ca_system_score_gemma":0.002437891,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02045042,"about_ca_topic_score_gemma":0.03393531,"domain_scores_codex":[0.9989179,0.0001445085,0.0001448822,0.0003671694,0.0002460455,0.0001794913],"domain_scores_gemma":[0.9975665,0.0006438312,0.0002498926,0.0006603771,0.0005873421,0.0002921922],"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":[0.00003103058,0.00001237711,0.0004525337,0.0005877066,0.00001857607,0.00001597136,0.00002428715,0.0001394872,0.0001180751,0.0004100353,0.9966731,0.001516867],"study_design_scores_gemma":[0.00007881397,0.000008524972,0.002108086,0.000212602,0.00001627455,0.0000401103,0.00006960444,0.0001531204,0.0001943204,0.0007701149,0.9963307,0.0000177456],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004523589,0.00003146451,0.00004136425,0.00003295108,0.00001104907,0.000004890077,0.9989225,0.0003361139,0.0005745307],"genre_scores_gemma":[0.000148637,0.00003295042,0.0001564488,0.00003564666,0.000002959686,0.00003362121,0.9990931,0.0001086514,0.0003879411],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.860976,"threshold_uncertainty_score":0.4650815,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01734962626846364,"score_gpt":0.227796013577581,"score_spread":0.2104463873091174,"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."}}