{"id":"W6943327330","doi":"10.15468/dl.nvgrmk","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); Data set; 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":[0.00105592,0.001933182,0.001685824,0.005446706,0.0009887918,0.002597377,0.002878555,0.002138877,0.1745616],"category_scores_gemma":[0.00671366,0.0009181634,0.001213568,0.01052798,0.0004587736,0.002359797,0.002663541,0.001939539,0.2228509],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00161417,"about_ca_system_score_gemma":0.002434668,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02095432,"about_ca_topic_score_gemma":0.03319238,"domain_scores_codex":[0.9988626,0.0001521518,0.0001587886,0.0003850763,0.0002505544,0.0001908326],"domain_scores_gemma":[0.9974285,0.0007414541,0.0002567662,0.0006506134,0.0006268026,0.0002958844],"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":[0.00003227662,0.00001056198,0.0003715665,0.0006629966,0.00001697705,0.00001539577,0.00002394403,0.0001212306,0.0001279046,0.0003967148,0.9967402,0.001480259],"study_design_scores_gemma":[0.00007416836,0.000008089946,0.001826366,0.0002245564,0.00001621651,0.00003634532,0.00006558456,0.0001219825,0.0001852623,0.0007378291,0.9966863,0.0000173171],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003552261,0.00002859335,0.00003884192,0.00003233047,0.00001036548,0.000004880627,0.9989336,0.0003227941,0.0005931337],"genre_scores_gemma":[0.0001570546,0.00003636312,0.0001725584,0.00004737442,0.000003384385,0.00003999627,0.9989648,0.0001380488,0.0004404258],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8254384,"threshold_uncertainty_score":0.5839666,"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."}}