{"id":"W6962555213","doi":"10.15468/dl.u4ppab","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":"Matching (statistics); Range (aeronautics); Download; Population; Context (archaeology)","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":[0.0008706495,0.00200596,0.001534666,0.004908085,0.0009336441,0.002463268,0.00267054,0.001857895,0.1616939],"category_scores_gemma":[0.005317216,0.0009268859,0.001103555,0.009893387,0.0004195263,0.002222907,0.002429733,0.001803403,0.2255329],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001446626,"about_ca_system_score_gemma":0.002181746,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01931407,"about_ca_topic_score_gemma":0.03450432,"domain_scores_codex":[0.9990298,0.0001298076,0.000122464,0.000347531,0.0002066501,0.0001638936],"domain_scores_gemma":[0.9977669,0.000592205,0.0002211747,0.0005867864,0.0005749515,0.000257961],"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":[0.0000330574,0.00001107383,0.000376276,0.0005346572,0.00001436017,0.00001405043,0.00002079834,0.0001169702,0.0001311745,0.0003910371,0.9968897,0.001466973],"study_design_scores_gemma":[0.00006842701,0.000008409874,0.001745806,0.0001646946,0.00001339224,0.00003396712,0.00005575027,0.0001220434,0.0001895665,0.000764747,0.9968159,0.00001729795],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004277059,0.00002664245,0.00004081646,0.00002842635,0.0000106468,0.000004532468,0.9988365,0.0003327198,0.0006769418],"genre_scores_gemma":[0.0001551792,0.00003271192,0.0001846292,0.00004171444,0.000003355606,0.0000372069,0.9988937,0.0001412347,0.0005103275],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8383061,"threshold_uncertainty_score":0.5409201,"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."}}