{"id":"W6943349953","doi":"10.15468/dl.vr3upy","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); Confidentiality","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":[0.0009357611,0.002001985,0.001505308,0.004765198,0.0008792768,0.002387733,0.002657554,0.001949902,0.146925],"category_scores_gemma":[0.005501254,0.0008795698,0.001194959,0.009303735,0.0004327445,0.002189566,0.002531779,0.001899311,0.2156377],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001433,"about_ca_system_score_gemma":0.002138112,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01798197,"about_ca_topic_score_gemma":0.03049129,"domain_scores_codex":[0.9989495,0.0001405438,0.000136453,0.0003628442,0.0002390639,0.0001715864],"domain_scores_gemma":[0.997678,0.0006072583,0.0002160445,0.0006503809,0.0005615591,0.0002867351],"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":[0.00003295467,0.00001202676,0.0003831504,0.0004990658,0.00001574875,0.00001453865,0.00002036377,0.0001267347,0.0001382312,0.0003555123,0.9969099,0.001491841],"study_design_scores_gemma":[0.0000787954,0.00001001895,0.002075403,0.0001790022,0.00001500814,0.00004190991,0.0000657354,0.0001708109,0.000232552,0.0007949146,0.9963183,0.00001758968],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000486995,0.00002875494,0.00004795134,0.00003406595,0.00001219285,0.000005682165,0.9987613,0.0004427179,0.0006185896],"genre_scores_gemma":[0.0001580505,0.00003010337,0.0001788951,0.00004311072,0.000003313713,0.00003549243,0.9990525,0.0001299128,0.0003685896],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.853075,"threshold_uncertainty_score":0.491513,"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."}}