{"id":"W6887117979","doi":"10.15468/dl.pdejg7","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; 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":[0.000983291,0.001972132,0.001558274,0.004612816,0.00102343,0.002551363,0.002736724,0.002162792,0.1536052],"category_scores_gemma":[0.006045762,0.0009050791,0.001312644,0.008646715,0.0004401099,0.002454015,0.002594364,0.002017813,0.2143565],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001493817,"about_ca_system_score_gemma":0.002224679,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02032015,"about_ca_topic_score_gemma":0.03344436,"domain_scores_codex":[0.9989725,0.000148083,0.0001294039,0.0003709483,0.0002155651,0.0001634492],"domain_scores_gemma":[0.997461,0.0007602867,0.0002155454,0.0006911961,0.0005937721,0.0002780916],"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":[0.00003004268,0.00001285204,0.0003896853,0.0005322672,0.00001434271,0.00001586834,0.00002384101,0.0001328153,0.0001162617,0.0003545689,0.9969158,0.001461612],"study_design_scores_gemma":[0.00007691667,0.00001028548,0.002013716,0.0002076217,0.00001493651,0.00004108071,0.00008311996,0.0001917024,0.0001993235,0.0008126592,0.9963294,0.0000190949],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000518134,0.00002951771,0.0000522125,0.00004501712,0.00001525036,0.00000665359,0.9986609,0.0004803152,0.0006582332],"genre_scores_gemma":[0.0001741884,0.00003401212,0.0002194803,0.00005125982,0.0000040485,0.00004715881,0.9988523,0.0001529064,0.0004648105],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8463948,"threshold_uncertainty_score":0.5138605,"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."}}