{"id":"W6962123711","doi":"10.15468/dl.rw4bd5","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); Listing (finance); Range (aeronautics); Confidentiality","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":["insufficient_payload"],"category_scores_codex":[0.0009086525,0.002806231,0.00243287,0.00820825,0.00139258,0.004503211,0.00271742,0.002545525,0.4654817],"category_scores_gemma":[0.006770428,0.001095208,0.001827012,0.01090577,0.0004246716,0.003882112,0.004243553,0.002316283,0.5486753],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001610402,"about_ca_system_score_gemma":0.002799772,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02224484,"about_ca_topic_score_gemma":0.03830863,"domain_scores_codex":[0.9987514,0.0001360476,0.0001743651,0.0004075152,0.0002920598,0.0002385501],"domain_scores_gemma":[0.9969626,0.0008273054,0.0002350333,0.0006567614,0.0008105722,0.0005077359],"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":[0.00003694426,0.00001327093,0.0002356184,0.0005714731,0.00001161516,0.00001928818,0.0000245908,0.00007732953,0.00009051279,0.000453527,0.9953647,0.003101116],"study_design_scores_gemma":[0.00006287028,0.00000939843,0.0008758451,0.0001965966,0.00001376313,0.00003805432,0.00006405992,0.0001734562,0.0001348934,0.001168363,0.9972407,0.00002213917],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004676223,0.00006751328,0.0001468696,0.00008383572,0.00003982145,0.0000142729,0.9931084,0.002802073,0.003690311],"genre_scores_gemma":[0.0002706245,0.0001242367,0.0007232791,0.0001844199,0.00001672433,0.00007127385,0.9949353,0.001079371,0.002594717],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5345182,"threshold_uncertainty_score":0.7624254,"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."}}