{"id":"W6924468811","doi":"10.15468/dl.ggz4q3","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); Statistical analysis; Upload","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":[0.0009348108,0.001848042,0.001531739,0.005024691,0.0009030483,0.002463172,0.002683409,0.001927224,0.1563397],"category_scores_gemma":[0.005552536,0.0008679748,0.001139685,0.009493068,0.0004294673,0.002144401,0.002478121,0.001810509,0.2058341],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001470505,"about_ca_system_score_gemma":0.002179754,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01953105,"about_ca_topic_score_gemma":0.03168773,"domain_scores_codex":[0.9990075,0.0001321946,0.0001339939,0.0003396384,0.0002170276,0.0001696865],"domain_scores_gemma":[0.9977551,0.000593537,0.0002227092,0.0006070195,0.000549308,0.0002723649],"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":[0.00003453789,0.00001208939,0.0004018983,0.0006415632,0.00001808715,0.0000165956,0.00002381353,0.000126945,0.0001570266,0.0004129279,0.9965891,0.001565467],"study_design_scores_gemma":[0.00007731098,0.000009288927,0.00209073,0.0002000372,0.00001601564,0.00003964185,0.00006791491,0.000132927,0.000210892,0.000712836,0.9964251,0.00001733495],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004398381,0.00002850627,0.00003958333,0.00003169914,0.00001075621,0.000005270716,0.9988818,0.0003459413,0.0006125474],"genre_scores_gemma":[0.0001685951,0.00003315987,0.0001635141,0.00004346811,0.000003238383,0.00003666086,0.9990332,0.0001215023,0.0003966672],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8436603,"threshold_uncertainty_score":0.5230084,"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."}}