{"id":"W6887067476","doi":"10.15468/dl.mz4r3k","title":"Occurrence Download","year":2024,"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); Data set; Set (abstract data type)","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":[0.001070845,0.001936427,0.001620414,0.006119622,0.001063517,0.002648935,0.002831388,0.002031403,0.1759673],"category_scores_gemma":[0.006334778,0.0009487281,0.001175742,0.01109292,0.0004740014,0.00242616,0.002978023,0.002042206,0.2490765],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001610598,"about_ca_system_score_gemma":0.002625726,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02038605,"about_ca_topic_score_gemma":0.0354441,"domain_scores_codex":[0.9987685,0.0001596941,0.000164297,0.0004066304,0.0002911132,0.000209751],"domain_scores_gemma":[0.9970452,0.0007528822,0.000290926,0.0007884497,0.0007707841,0.0003517589],"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":[0.00002989045,0.0000111646,0.0003533205,0.0005640514,0.00001384566,0.00001462658,0.00002508679,0.0000969516,0.0001324388,0.0004003921,0.996857,0.001501188],"study_design_scores_gemma":[0.00005693198,0.000006997155,0.001643503,0.0001793308,0.00001243449,0.00003236736,0.00006606959,0.00009097895,0.0001801327,0.000678536,0.9970363,0.00001636835],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003693979,0.0000246383,0.00003923791,0.00003226312,0.00001092098,0.000005284091,0.9988157,0.0003403843,0.0006946231],"genre_scores_gemma":[0.0001447858,0.00003439384,0.0001963358,0.00004556483,0.00000345076,0.00003920815,0.9988483,0.0001526578,0.0005352517],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8240327,"threshold_uncertainty_score":0.5886692,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01708767307206114,"score_gpt":0.2335971948231368,"score_spread":0.2165095217510757,"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."}}