{"id":"W6906018497","doi":"10.15468/dl.tjerqd","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); 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":[0.00098535,0.001999427,0.001562325,0.00484909,0.001038494,0.00261958,0.002768493,0.002192022,0.1575152],"category_scores_gemma":[0.006403906,0.0008792799,0.001318748,0.008927342,0.0004502381,0.002521451,0.002612128,0.002020346,0.2220964],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001522574,"about_ca_system_score_gemma":0.002314596,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02189007,"about_ca_topic_score_gemma":0.03503539,"domain_scores_codex":[0.9989313,0.0001524249,0.0001345194,0.0003793586,0.0002271009,0.0001751715],"domain_scores_gemma":[0.9973058,0.0007927726,0.0002257339,0.0007205337,0.0006630597,0.0002921649],"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":[0.0000290847,0.00001231702,0.0003974868,0.000519488,0.00001324665,0.0000157718,0.00002315279,0.0001211887,0.0001045164,0.0003338614,0.9969464,0.001483408],"study_design_scores_gemma":[0.00007163202,0.000009896533,0.001937133,0.0002130076,0.00001423319,0.00003962175,0.00008533936,0.0001866279,0.0001877469,0.0007937351,0.9964424,0.00001873485],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004932328,0.00003044126,0.00004862593,0.00004616693,0.00001523304,0.000006554254,0.9986829,0.00047384,0.0006469474],"genre_scores_gemma":[0.0001723194,0.00003545238,0.0002184755,0.00005276317,0.000004325154,0.00004671171,0.9988316,0.0001547084,0.0004837319],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8424848,"threshold_uncertainty_score":0.5269409,"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."}}