{"id":"W6887192359","doi":"10.15468/dl.s9frxg","title":"Occurrence Download","year":2025,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Research Data Management Practices","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Matching (statistics); Range (aeronautics); Set (abstract data type); Identification (biology); Download","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":[0.0009217572,0.002136261,0.001392398,0.004488828,0.0009977001,0.002337609,0.00281949,0.001893235,0.1156784],"category_scores_gemma":[0.006132228,0.0008803915,0.001270246,0.008384794,0.0004482494,0.00222906,0.00245849,0.0019748,0.1766174],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001662302,"about_ca_system_score_gemma":0.002420218,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02594282,"about_ca_topic_score_gemma":0.04247614,"domain_scores_codex":[0.9989198,0.0001375779,0.0001485317,0.0003665593,0.0002602556,0.0001672413],"domain_scores_gemma":[0.9975987,0.0006231629,0.0002141017,0.0006621861,0.0006300664,0.0002717905],"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":[0.00002952093,0.00001247732,0.0003474129,0.0003812178,0.00001216477,0.00001450946,0.0000209662,0.0001214411,0.0001083391,0.0003624098,0.9971615,0.001428013],"study_design_scores_gemma":[0.00008230299,0.00001021649,0.001848197,0.000150553,0.00001292633,0.00004728576,0.00007331889,0.0002465801,0.0002290686,0.000837695,0.996444,0.0000179108],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006655786,0.000031806,0.00006655488,0.00004980496,0.00001591433,0.000007965253,0.9982148,0.0007434862,0.0008030765],"genre_scores_gemma":[0.0001777853,0.00003246152,0.0002611252,0.00005084162,0.000003673245,0.0000429358,0.9987894,0.0001801997,0.000461577],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8843216,"threshold_uncertainty_score":0.3869827,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03761864349018661,"score_gpt":0.2888078212483628,"score_spread":0.2511891777581762,"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."}}