{"id":"W6924791771","doi":"10.15468/dl.v8zp5a","title":"Occurrence Download","year":2024,"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); Order (exchange); Real world data","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":[0.001099324,0.002015883,0.001680024,0.005822739,0.001034579,0.002710719,0.002877784,0.001948972,0.1794402],"category_scores_gemma":[0.006476937,0.00099252,0.00122868,0.01125477,0.0004652525,0.002459733,0.002797984,0.002054911,0.2571975],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001683782,"about_ca_system_score_gemma":0.002732633,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02458831,"about_ca_topic_score_gemma":0.04069426,"domain_scores_codex":[0.9987996,0.0001610756,0.0001564439,0.0003983369,0.0002811812,0.0002032805],"domain_scores_gemma":[0.9970234,0.000775847,0.000275485,0.0007767746,0.0007996144,0.0003487674],"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":[0.00002862133,0.000009802945,0.0003142372,0.0005442487,0.00001451723,0.00001263677,0.00002120839,0.00009904892,0.0001144141,0.0003566795,0.9970981,0.001386565],"study_design_scores_gemma":[0.00005917553,0.000006633519,0.001557609,0.0001776122,0.00001304902,0.00002879686,0.00005839632,0.00009305507,0.0001699165,0.0006492169,0.9971707,0.00001589415],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003190234,0.00002448509,0.00003631439,0.00003032506,0.00001018859,0.000004955801,0.9988932,0.0003192071,0.000649374],"genre_scores_gemma":[0.0001272392,0.00003447017,0.0001642401,0.00004232994,0.000003293376,0.00003762329,0.9989554,0.0001482312,0.0004871322],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8205597,"threshold_uncertainty_score":0.6002874,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01708767307206114,"score_gpt":0.2335971948231368,"score_spread":0.2165095217510757,"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."}}