{"id":"W6943428668","doi":"10.15468/dl.p3syqs","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); Range (aeronautics); Set (abstract data type); Order (exchange)","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":[0.001146089,0.00207461,0.001743004,0.005308125,0.0010599,0.002743851,0.003047486,0.002079834,0.1702496],"category_scores_gemma":[0.00649506,0.001023101,0.001214268,0.01037546,0.0004691569,0.002346847,0.00270899,0.002119806,0.2322806],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001701548,"about_ca_system_score_gemma":0.002529647,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0231428,"about_ca_topic_score_gemma":0.03650087,"domain_scores_codex":[0.9988472,0.0001521878,0.0001509241,0.0004011555,0.0002589609,0.0001893871],"domain_scores_gemma":[0.9973557,0.0007492218,0.0002543958,0.0006947219,0.0006441426,0.0003018225],"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":[0.00002863633,0.00001044835,0.0003384953,0.0005647054,0.00001615899,0.00001462489,0.0000253829,0.0001183903,0.0001207052,0.0003951337,0.9970559,0.001311423],"study_design_scores_gemma":[0.00006864796,0.00000716901,0.001678626,0.0001855214,0.00001515799,0.00003486469,0.00006808575,0.0001277431,0.0001837434,0.0007110182,0.9969018,0.00001773819],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003267884,0.0000236691,0.00004445178,0.00003026013,0.00001064227,0.000004685875,0.9989098,0.0003532143,0.0005906182],"genre_scores_gemma":[0.0001352844,0.00003065443,0.0001903345,0.00003902427,0.000002914131,0.00003974677,0.998971,0.0001618492,0.0004291929],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8297504,"threshold_uncertainty_score":0.5695416,"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."}}