{"id":"W6887296417","doi":"10.15468/dl.zxymkx","title":"Occurrence Download","year":2023,"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); Alien; The Internet","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":[0.00108426,0.001951476,0.001611333,0.005173279,0.001082471,0.002676705,0.002915381,0.002209383,0.1572659],"category_scores_gemma":[0.006226571,0.0009241962,0.001266281,0.009881609,0.0004754605,0.00240641,0.002677266,0.002120228,0.2278127],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001660415,"about_ca_system_score_gemma":0.00250243,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0224012,"about_ca_topic_score_gemma":0.03657088,"domain_scores_codex":[0.9988632,0.0001544616,0.0001387079,0.0003960195,0.0002552845,0.0001922986],"domain_scores_gemma":[0.9972507,0.0007708588,0.0002458151,0.0007505739,0.0006715908,0.0003103775],"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":[0.00002826828,0.00001228085,0.0003720994,0.0004834089,0.0000136617,0.00001514108,0.00002382065,0.0001144962,0.0001185472,0.0003944641,0.9970764,0.001347459],"study_design_scores_gemma":[0.00006716117,0.000008430839,0.001883388,0.000190885,0.00001351743,0.00003655877,0.00007775712,0.0001343406,0.0001902237,0.0007744954,0.9966054,0.00001789548],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004271073,0.00002476246,0.00004289417,0.00003840281,0.000012486,0.000005486611,0.9988177,0.0003679825,0.0006474995],"genre_scores_gemma":[0.0001504489,0.00003043442,0.0001924129,0.00004498902,0.000003380799,0.00004069846,0.9989272,0.0001436203,0.000466818],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.842734,"threshold_uncertainty_score":0.526107,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02365312271414112,"score_gpt":0.2392044605254057,"score_spread":0.2155513378112646,"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."}}