{"id":"W6887023650","doi":"10.15468/dl.k9tjac","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; Species name","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":[0.001060603,0.001899827,0.001564888,0.004816744,0.0009592189,0.002539287,0.002756309,0.002086163,0.1444115],"category_scores_gemma":[0.005921344,0.0008834793,0.001217107,0.009557675,0.0004417824,0.002172848,0.002380164,0.002003676,0.2129121],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001578698,"about_ca_system_score_gemma":0.002272732,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02172438,"about_ca_topic_score_gemma":0.03524032,"domain_scores_codex":[0.9989261,0.0001524375,0.0001374562,0.0003723294,0.0002374426,0.0001742374],"domain_scores_gemma":[0.9974415,0.0007449187,0.0002419428,0.0006727033,0.000615538,0.0002832982],"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":[0.00003009014,0.00001249001,0.0004193967,0.000522724,0.00001552101,0.0000147491,0.00002225682,0.0001353879,0.0001176644,0.0003617067,0.9969634,0.001384543],"study_design_scores_gemma":[0.00007935396,0.000009819875,0.002326348,0.0002040957,0.00001592758,0.00003885822,0.00007725286,0.0001696118,0.0002041021,0.0008045105,0.9960511,0.00001907847],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004377242,0.00002518344,0.00004107159,0.00003383871,0.00001127703,0.000004961918,0.998966,0.0003217098,0.0005521858],"genre_scores_gemma":[0.0001584049,0.00002961747,0.0001738199,0.0000398514,0.000003365707,0.00004016453,0.9990134,0.000119452,0.0004218156],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8555885,"threshold_uncertainty_score":0.4831046,"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."}}