{"id":"W6886908121","doi":"10.15468/dl.aegt6b","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":"Geodetic datum; Matching (statistics); Download; Range (aeronautics); Taxon","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":[0.001115039,0.001881025,0.00166,0.005139987,0.001134598,0.003121973,0.002974945,0.001991935,0.2136212],"category_scores_gemma":[0.007517189,0.001055714,0.001124185,0.009895152,0.0004557039,0.002610945,0.002850722,0.002153269,0.2704847],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001613612,"about_ca_system_score_gemma":0.002380438,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01848528,"about_ca_topic_score_gemma":0.02984406,"domain_scores_codex":[0.9989065,0.0001448862,0.0001415972,0.0003815258,0.0002476215,0.0001779215],"domain_scores_gemma":[0.9972386,0.0008518703,0.0002538831,0.000700186,0.0006556626,0.0002997975],"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":[0.00002623366,0.000009563821,0.0003266279,0.0005130779,0.00001337699,0.00001327818,0.00002581577,0.00009732647,0.0001001309,0.000402941,0.9971095,0.00136209],"study_design_scores_gemma":[0.00006279524,0.000006476334,0.001440958,0.0001823204,0.00001304853,0.00003109191,0.00007191591,0.0001228477,0.0001646438,0.0007986717,0.9970892,0.00001612817],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003112756,0.00002005431,0.00005026933,0.0000330402,0.00001061328,0.000005056876,0.9987789,0.0003986624,0.000672281],"genre_scores_gemma":[0.0001543326,0.00003204148,0.0002310708,0.00004560071,0.000003533402,0.0000499545,0.9986754,0.0002406705,0.0005673969],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7863788,"threshold_uncertainty_score":0.7146342,"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."}}