{"id":"W6887194539","doi":"10.15468/dl.rg39qv","title":"Occurrence Download","year":2023,"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":[0.0009328683,0.001830853,0.001557457,0.004907685,0.001012258,0.002470113,0.002694416,0.002089755,0.147628],"category_scores_gemma":[0.005619818,0.0008764514,0.00125076,0.009452023,0.0004552059,0.00228745,0.002503691,0.001920902,0.2078503],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001536546,"about_ca_system_score_gemma":0.002292125,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0227357,"about_ca_topic_score_gemma":0.0368945,"domain_scores_codex":[0.9989887,0.0001399869,0.0001319067,0.000350245,0.0002195381,0.0001696921],"domain_scores_gemma":[0.9975042,0.0007209574,0.0002283666,0.0006661931,0.0006077141,0.0002725801],"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":[0.00003087728,0.00001348086,0.0004506072,0.0006147352,0.00001500287,0.00001789907,0.00002781632,0.0001299191,0.0001399787,0.0003639505,0.996578,0.001617712],"study_design_scores_gemma":[0.00006960805,0.000009568255,0.002322482,0.000210875,0.00001503313,0.00004196024,0.00009366957,0.0001526735,0.0001985335,0.0006700139,0.9961971,0.00001837814],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005366862,0.00003026741,0.00004421945,0.00003969875,0.0000135276,0.000006105245,0.9988054,0.0003809244,0.0006262374],"genre_scores_gemma":[0.0001803523,0.00003705834,0.0001995244,0.00004616139,0.000003813395,0.0000447412,0.9988803,0.0001310912,0.0004768418],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8523721,"threshold_uncertainty_score":0.4938647,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02365312271414112,"score_gpt":0.2392044605254057,"score_spread":0.2155513378112646,"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."}}