{"id":"W6943345378","doi":"10.15468/dl.rsqnz8","title":"Occurrence Download","year":2023,"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; The Internet","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":[0.001040353,0.00186658,0.001565281,0.00512537,0.0009982974,0.002521749,0.002767787,0.002070798,0.1567988],"category_scores_gemma":[0.005957001,0.0009076275,0.001191608,0.01000176,0.0004596239,0.002256283,0.002519571,0.002006416,0.2174915],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00160348,"about_ca_system_score_gemma":0.002392245,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02255522,"about_ca_topic_score_gemma":0.03734517,"domain_scores_codex":[0.9989353,0.0001447171,0.0001380021,0.0003688555,0.000239652,0.0001735152],"domain_scores_gemma":[0.9973161,0.0007903115,0.0002505311,0.0006944559,0.0006515971,0.0002970852],"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":[0.00002882367,0.00001228007,0.0003943414,0.0005509481,0.00001471759,0.00001486011,0.00002482498,0.0001275743,0.0001234338,0.0003865591,0.9969041,0.001417547],"study_design_scores_gemma":[0.0000708212,0.000008859824,0.002081485,0.0001953067,0.00001447491,0.00003632511,0.00007659606,0.0001396795,0.0001913568,0.0007463301,0.9964207,0.00001803188],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004229003,0.00002464031,0.00004204268,0.00003421751,0.00001145745,0.000005028734,0.9989259,0.0003235889,0.0005908207],"genre_scores_gemma":[0.0001606313,0.00003238454,0.0001894426,0.00004327913,0.000003372986,0.00004170127,0.9989089,0.0001389924,0.0004813351],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8432013,"threshold_uncertainty_score":0.5245441,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02365312271414112,"score_gpt":0.2392044605254057,"score_spread":0.2155513378112646,"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."}}