{"id":"W6887127529","doi":"10.15468/dl.merns2","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); Alien; Range (aeronautics); European union","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":[0.001015386,0.002026262,0.001607536,0.005008359,0.001026214,0.002599939,0.002750473,0.002213551,0.1495397],"category_scores_gemma":[0.00630297,0.0008900567,0.001306283,0.009407434,0.0004548894,0.002368822,0.002501152,0.001962292,0.2186725],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001564628,"about_ca_system_score_gemma":0.002328384,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02166271,"about_ca_topic_score_gemma":0.03418499,"domain_scores_codex":[0.9989228,0.0001548401,0.0001372035,0.0003782228,0.000232082,0.0001748769],"domain_scores_gemma":[0.9972549,0.0008167776,0.0002377542,0.0007256393,0.0006746055,0.0002903189],"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":[0.00003079478,0.00001336497,0.0004488314,0.0005613288,0.00001492042,0.00001698641,0.00002371064,0.000140147,0.0001163405,0.0003400026,0.9968333,0.001460216],"study_design_scores_gemma":[0.0000801072,0.00001126833,0.00220591,0.0002281733,0.0000165376,0.00004403462,0.00009188305,0.000211371,0.000212065,0.0008451003,0.9960334,0.00002023116],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005013741,0.00003036499,0.00004567972,0.0000418453,0.00001403098,0.000006075199,0.998791,0.0004218683,0.0005989032],"genre_scores_gemma":[0.0001716688,0.00003514897,0.0001996858,0.00004748082,0.000003993239,0.00004402635,0.9989214,0.0001344013,0.0004421943],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8504603,"threshold_uncertainty_score":0.5002602,"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."}}