{"id":"W6943432781","doi":"10.15468/dl.qzq7e9","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); Species name; UniProt","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":[0.0008106048,0.0022489,0.00182442,0.005852562,0.001283928,0.003488757,0.002948044,0.00218927,0.2056026],"category_scores_gemma":[0.006653443,0.0009309017,0.001618503,0.009920959,0.0003924849,0.003641298,0.003436866,0.002090103,0.3213148],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001616735,"about_ca_system_score_gemma":0.002406818,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01925443,"about_ca_topic_score_gemma":0.0326372,"domain_scores_codex":[0.9987104,0.0001387393,0.0001729257,0.0004650153,0.0003021668,0.0002108386],"domain_scores_gemma":[0.9975114,0.0005872049,0.0002078391,0.0006988606,0.0007158387,0.0002788559],"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":[0.00004303385,0.00001366935,0.0004339208,0.000581538,0.00001460172,0.00002312323,0.00002608709,0.0001035929,0.000119897,0.00039091,0.9949806,0.003269044],"study_design_scores_gemma":[0.00004580856,0.00001101054,0.001275372,0.0001618772,0.00001233899,0.00005097289,0.00007823655,0.0002187398,0.000178632,0.0007170077,0.9972332,0.00001679291],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00008416275,0.00007694874,0.0001296386,0.00008049797,0.0000346447,0.00001053329,0.996242,0.001844126,0.001497365],"genre_scores_gemma":[0.0002578394,0.00007502417,0.0004497931,0.00008723106,0.000008676648,0.00004599745,0.9976001,0.0004276614,0.001047744],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7943974,"threshold_uncertainty_score":0.6878091,"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."}}