{"id":"W6887336186","doi":"10.15468/dl.y3r4gg","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); Confidentiality; Order (exchange)","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":[0.0009960444,0.001946562,0.001586398,0.004627236,0.0009946821,0.002472943,0.002854639,0.002066394,0.1506145],"category_scores_gemma":[0.005833832,0.0009198113,0.001230895,0.009552887,0.0004651869,0.002181253,0.002593747,0.002052999,0.2137942],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001670448,"about_ca_system_score_gemma":0.002409314,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02450478,"about_ca_topic_score_gemma":0.03983578,"domain_scores_codex":[0.9990065,0.0001330904,0.0001262927,0.0003417502,0.0002268295,0.000165643],"domain_scores_gemma":[0.9976931,0.0006409975,0.0002112428,0.000620744,0.0005723482,0.0002615655],"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":[0.00002816432,0.00001148769,0.0004034668,0.0005214838,0.00001586872,0.00001536787,0.00002714641,0.0001449417,0.0001297109,0.0004162045,0.9968592,0.001427094],"study_design_scores_gemma":[0.00006919283,0.000007278579,0.001762903,0.0001835664,0.00001419161,0.00003468087,0.0000759594,0.0001564932,0.0001907215,0.0007468103,0.996741,0.00001721101],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000410422,0.00002425479,0.00004573264,0.00003326473,0.00001131535,0.000004965,0.9988652,0.0003709249,0.0006032594],"genre_scores_gemma":[0.0001579534,0.00003015407,0.0002044209,0.0000399323,0.000002930029,0.00004066099,0.9989549,0.0001522501,0.0004168542],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8493854,"threshold_uncertainty_score":0.5038558,"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."}}