{"id":"W6962446923","doi":"10.15468/dl.nmjvqs","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","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":[0.001013976,0.002000642,0.001537889,0.005215458,0.0009935143,0.002453326,0.002772235,0.002060259,0.1469601],"category_scores_gemma":[0.005836482,0.0009072185,0.001198866,0.00964994,0.0004590422,0.002281802,0.002550154,0.002048931,0.2069619],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001595285,"about_ca_system_score_gemma":0.002270919,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02196897,"about_ca_topic_score_gemma":0.03789807,"domain_scores_codex":[0.9989505,0.0001423504,0.0001365802,0.0003629238,0.0002357028,0.0001719914],"domain_scores_gemma":[0.9974872,0.0007110701,0.0002371392,0.0006795109,0.0005994971,0.0002855882],"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":[0.00002835352,0.00001201838,0.0004060423,0.0004851309,0.00001453212,0.00001515506,0.00002501789,0.0001352142,0.0001170808,0.0003723224,0.996937,0.001452054],"study_design_scores_gemma":[0.00007197944,0.000008507778,0.00200974,0.0001842623,0.00001411306,0.00004067781,0.00008088793,0.0001713554,0.0001967825,0.0007808058,0.9964228,0.0000181392],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004604241,0.00002485586,0.00004823504,0.00003439123,0.00001250123,0.000005169013,0.9988552,0.0003738615,0.0005996383],"genre_scores_gemma":[0.0001590314,0.00002953521,0.00021156,0.00003869386,0.000003476713,0.0000401392,0.9989349,0.0001449774,0.0004376891],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8530399,"threshold_uncertainty_score":0.4916306,"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."}}