{"id":"W6887041742","doi":"10.15468/dl.pgrpkt","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; Identification (biology); 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":[0.0008430451,0.002003587,0.00152705,0.004925849,0.0009121838,0.002435453,0.002663455,0.001814349,0.1637956],"category_scores_gemma":[0.005159148,0.0009323513,0.001143568,0.009563879,0.0004132556,0.002239505,0.002496095,0.001839735,0.2206165],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001421109,"about_ca_system_score_gemma":0.002134181,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01912281,"about_ca_topic_score_gemma":0.03392857,"domain_scores_codex":[0.9990089,0.000128019,0.0001270137,0.0003595875,0.0002094802,0.0001669232],"domain_scores_gemma":[0.9977464,0.0005963395,0.0002241006,0.0005960696,0.000567127,0.0002699732],"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":[0.00003526992,0.00001205611,0.0004092902,0.0005619361,0.00001552976,0.00001496198,0.00002209138,0.0001273165,0.0001410267,0.0003827223,0.9967251,0.001552719],"study_design_scores_gemma":[0.00007195301,0.000008759904,0.001844395,0.0001661663,0.00001397966,0.00003500381,0.00005883464,0.000137585,0.0001858951,0.0007619938,0.9966973,0.00001813591],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000421219,0.00002435642,0.00004008834,0.0000289427,0.00001119138,0.000004700927,0.9988667,0.0003445861,0.0006373518],"genre_scores_gemma":[0.0001530112,0.00003248303,0.0001915786,0.00004607977,0.000003545302,0.00003778231,0.9988987,0.0001404798,0.0004962428],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8362044,"threshold_uncertainty_score":0.5479509,"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."}}