{"id":"W6924623749","doi":"10.15468/dl.te8det","title":"Occurrence Download","year":2022,"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); The Internet; Data set","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":[0.0009287888,0.00196873,0.001551364,0.004828498,0.0009639293,0.002309326,0.002803664,0.002012848,0.1361544],"category_scores_gemma":[0.005508297,0.0008686334,0.001192044,0.009264384,0.0004278116,0.002116932,0.002408087,0.001893307,0.1995479],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001431495,"about_ca_system_score_gemma":0.002206904,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02041709,"about_ca_topic_score_gemma":0.03713976,"domain_scores_codex":[0.9989933,0.0001327448,0.0001301403,0.0003513717,0.000231857,0.0001605651],"domain_scores_gemma":[0.9976624,0.0006273201,0.0002163754,0.000635394,0.0005867337,0.0002718963],"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":[0.00003067309,0.0000122446,0.0004018838,0.0005187,0.00001641856,0.00001543579,0.00002060954,0.0001367399,0.0001265403,0.0003387328,0.9969372,0.001444894],"study_design_scores_gemma":[0.00008226483,0.0000101586,0.002268465,0.0001947473,0.00001694289,0.00004445882,0.00007296883,0.0001821906,0.0002195788,0.0007869111,0.9961017,0.00001946339],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004540784,0.00002764226,0.00004267999,0.00003326096,0.00001157121,0.000005152725,0.9989216,0.0003557437,0.0005569974],"genre_scores_gemma":[0.0001530492,0.00002888948,0.0001803528,0.00003887253,0.000003260855,0.00003451843,0.9990603,0.0001099833,0.0003907679],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8638456,"threshold_uncertainty_score":0.4554817,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01850871640220096,"score_gpt":0.2277224731265546,"score_spread":0.2092137567243537,"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."}}