{"id":"W6943579087","doi":"10.15468/dl.75ywjg","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); Alien","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":[0.0009539592,0.00183665,0.001570614,0.005232092,0.001009014,0.002908361,0.002841287,0.001966893,0.2003837],"category_scores_gemma":[0.006400133,0.0009845997,0.001272509,0.01067128,0.0004329349,0.002540449,0.002802964,0.002045703,0.2667437],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001553925,"about_ca_system_score_gemma":0.002435618,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01933203,"about_ca_topic_score_gemma":0.03056395,"domain_scores_codex":[0.9989591,0.0001361205,0.0001426312,0.0003748585,0.0002150711,0.0001722167],"domain_scores_gemma":[0.9975671,0.0007058579,0.0002107917,0.0006436653,0.0006094885,0.0002631388],"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":[0.00002656821,0.000009790477,0.0003527859,0.0006011773,0.0000144354,0.00001439362,0.00002529385,0.0001079619,0.0001073751,0.0004069351,0.9965852,0.001747977],"study_design_scores_gemma":[0.00005459048,0.000006164514,0.00138376,0.0001867795,0.00001261181,0.00003113873,0.00006834316,0.0001112395,0.0001519396,0.0007075507,0.9972715,0.00001432937],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003378368,0.00002695757,0.00004790976,0.0000363672,0.00001183807,0.000005436791,0.9987215,0.0004027844,0.0007133437],"genre_scores_gemma":[0.0001588329,0.00004318577,0.0002343043,0.00005354985,0.000003862269,0.00004862193,0.9986607,0.0001999851,0.0005969633],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7996163,"threshold_uncertainty_score":0.6703503,"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."}}