{"id":"W6905847945","doi":"10.15468/dl.rdy9r2","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":[0.001068899,0.001931034,0.001641595,0.005262375,0.0009909341,0.002571728,0.002796641,0.002106647,0.1502528],"category_scores_gemma":[0.006136606,0.0008950036,0.001236521,0.01004848,0.000452187,0.0022709,0.002518053,0.002000652,0.2104446],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001641296,"about_ca_system_score_gemma":0.002397089,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02263291,"about_ca_topic_score_gemma":0.03631795,"domain_scores_codex":[0.9988886,0.0001557091,0.0001462155,0.0003785404,0.0002482536,0.0001827441],"domain_scores_gemma":[0.9973242,0.0007964703,0.0002515094,0.0006845959,0.0006532858,0.0002898773],"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":[0.00003207445,0.00001268877,0.0004115726,0.0006202077,0.00001665274,0.00001620567,0.00002508187,0.0001366789,0.0001294878,0.0003951926,0.9966967,0.0015075],"study_design_scores_gemma":[0.00007459831,0.000009091791,0.002143493,0.0002150019,0.00001573983,0.00003818923,0.00007656163,0.0001500627,0.0002006895,0.0007638969,0.9962938,0.00001880921],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004089401,0.00002648969,0.00004166102,0.00003307784,0.00001095186,0.00000511307,0.9989359,0.0003315972,0.0005742777],"genre_scores_gemma":[0.0001552245,0.00003289588,0.0001817506,0.00004017264,0.000003242267,0.00004120111,0.9989902,0.000128288,0.0004269562],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8497472,"threshold_uncertainty_score":0.5026456,"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."}}