{"id":"W6905811003","doi":"10.15468/dl.lz67jv","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":"Matching (statistics); Range (aeronautics); Set (abstract data type); Download; Identification (biology)","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":[0.0008978097,0.002146218,0.001679562,0.005273141,0.0009134863,0.002657721,0.002975886,0.001918043,0.1405242],"category_scores_gemma":[0.005961097,0.0009243283,0.001222317,0.01074559,0.0004330522,0.002385397,0.002741862,0.001907111,0.2105627],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001655046,"about_ca_system_score_gemma":0.002554318,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02412119,"about_ca_topic_score_gemma":0.04096952,"domain_scores_codex":[0.9989043,0.0001389086,0.0001462524,0.0003821887,0.0002484308,0.0001799702],"domain_scores_gemma":[0.9976729,0.0005906749,0.0002517548,0.0006075411,0.0005925936,0.000284451],"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":[0.00003112284,0.00001006165,0.0004129051,0.0005453713,0.00001647161,0.0000149077,0.00002218963,0.0001249281,0.000111071,0.0004121851,0.9968557,0.001442953],"study_design_scores_gemma":[0.00006661415,0.000007926049,0.001756379,0.0001838078,0.0000152093,0.00003867915,0.00005586394,0.0001394352,0.0001842242,0.0007826196,0.9967512,0.00001802053],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004265524,0.00003342236,0.00004130571,0.00003263527,0.00001177171,0.00000435582,0.9988261,0.0003724306,0.0006353694],"genre_scores_gemma":[0.0001452068,0.00003973961,0.0001639734,0.00004048895,0.00000319316,0.00003239866,0.9989549,0.000131358,0.0004886982],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8594759,"threshold_uncertainty_score":0.4701002,"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."}}