{"id":"W6962263468","doi":"10.15468/dl.xawmca","title":"Occurrence Download","year":2023,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Scientific Computing and Data Management","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Matching (statistics); Alien; Download; Range (aeronautics)","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":[0.001008199,0.001890339,0.001476939,0.004652963,0.0009465056,0.002381315,0.002662005,0.001979513,0.1360668],"category_scores_gemma":[0.006046441,0.000858061,0.001240915,0.008932478,0.000438136,0.002036331,0.00224374,0.001944723,0.195674],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001563711,"about_ca_system_score_gemma":0.002376582,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01994027,"about_ca_topic_score_gemma":0.03281464,"domain_scores_codex":[0.9989175,0.000154937,0.0001459709,0.0003845196,0.0002225552,0.0001744908],"domain_scores_gemma":[0.9976335,0.0006878033,0.0002241393,0.0005981337,0.000594436,0.0002620152],"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":[0.00003470111,0.00001289897,0.0004021119,0.0005132234,0.00001505443,0.00001420863,0.00001934043,0.0001366845,0.0001175073,0.0003871779,0.9969842,0.00136294],"study_design_scores_gemma":[0.00008874559,0.00001022155,0.001954805,0.0001863532,0.0000159601,0.00003652369,0.00006816415,0.0001845436,0.0002147194,0.0009190969,0.9963018,0.00001916852],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004706235,0.00002438737,0.00004251331,0.00003561163,0.00001168382,0.000005938466,0.9989247,0.0003359415,0.0005721876],"genre_scores_gemma":[0.0001657399,0.00003226833,0.0002014205,0.0000472128,0.00000355999,0.00004722776,0.9989216,0.0001316964,0.0004492753],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8639331,"threshold_uncertainty_score":0.4551889,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08511191719146195,"score_gpt":0.3171848425060143,"score_spread":0.2320729253145524,"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."}}