{"id":"W6924557745","doi":"10.15468/dl.vvdvt6","title":"Occurrence Download","year":2025,"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); Set (abstract data type)","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":[0.0009472968,0.00202522,0.001548768,0.004912244,0.001068933,0.002528556,0.002889338,0.002086865,0.152573],"category_scores_gemma":[0.006242016,0.0009026616,0.001304847,0.0093013,0.0004549436,0.002341443,0.002663181,0.002014842,0.2084951],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001713157,"about_ca_system_score_gemma":0.002474953,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02778434,"about_ca_topic_score_gemma":0.04370856,"domain_scores_codex":[0.9989715,0.0001290412,0.0001309094,0.0003573207,0.0002423999,0.0001689201],"domain_scores_gemma":[0.9975667,0.0006852386,0.000208682,0.0006460203,0.0006190039,0.0002744071],"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":[0.0000276714,0.00001106618,0.0003647211,0.0004700416,0.00001399601,0.00001500173,0.00002327478,0.0001228436,0.000104026,0.0003527444,0.9970978,0.001396803],"study_design_scores_gemma":[0.00007612189,0.000009064411,0.002048633,0.0002035723,0.00001545409,0.00004254329,0.00008374663,0.0001985424,0.0002065858,0.0008135337,0.9962836,0.0000187279],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004803087,0.00002976394,0.0000514213,0.00004267145,0.00001380527,0.000005796278,0.9986104,0.0005244428,0.0006736615],"genre_scores_gemma":[0.0001664267,0.00003226679,0.0002046909,0.00004633929,0.000003340265,0.00003830628,0.9988835,0.0001683066,0.000456828],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.847427,"threshold_uncertainty_score":0.5104077,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01437393559742932,"score_gpt":0.2320798631925623,"score_spread":0.217705927595133,"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."}}