{"id":"W6887237234","doi":"10.15468/dl.vbnw4s","title":"Occurrence Download","year":2022,"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); Download; Set (abstract data type); 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":[0.0008818162,0.002030062,0.00156769,0.004936521,0.0009474128,0.002508753,0.002671893,0.001881746,0.1626017],"category_scores_gemma":[0.005336564,0.0009308215,0.001150868,0.009652164,0.0004180795,0.002302628,0.002511207,0.001875598,0.2271639],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001475971,"about_ca_system_score_gemma":0.002206119,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01917222,"about_ca_topic_score_gemma":0.03373637,"domain_scores_codex":[0.9989795,0.0001366735,0.0001290578,0.0003701978,0.000214674,0.0001697785],"domain_scores_gemma":[0.9977286,0.0005986742,0.0002266539,0.0005970823,0.000572087,0.0002768002],"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":[0.00003311136,0.00001143044,0.0003657898,0.0005374581,0.00001459849,0.00001324657,0.00002001472,0.0001085477,0.0001207744,0.0003561808,0.997021,0.001397716],"study_design_scores_gemma":[0.00007495476,0.000009511442,0.001874221,0.0001755242,0.00001433996,0.00003532592,0.00005831429,0.0001310643,0.0001788439,0.0007402854,0.9966896,0.00001798089],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004080603,0.00002688513,0.00003736107,0.00002985658,0.00001102999,0.000004726732,0.9989032,0.0003183769,0.0006277844],"genre_scores_gemma":[0.0001440613,0.00003348862,0.0001683187,0.00004590362,0.000003400112,0.00003729134,0.9989567,0.0001247018,0.0004862134],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8373983,"threshold_uncertainty_score":0.543957,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01850871640220096,"score_gpt":0.2277224731265546,"score_spread":0.2092137567243537,"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."}}