{"id":"W6943815105","doi":"10.15468/dl.wvwtrf","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); The Internet; 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":[0.001104555,0.001960907,0.001655101,0.005257749,0.001066597,0.002849202,0.002979167,0.002035308,0.181741],"category_scores_gemma":[0.006683265,0.001003112,0.001179,0.01032658,0.0004643741,0.002527461,0.002796619,0.002102701,0.2395247],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001591821,"about_ca_system_score_gemma":0.00244309,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02075028,"about_ca_topic_score_gemma":0.03485412,"domain_scores_codex":[0.9988329,0.0001575343,0.0001564774,0.0004081285,0.0002579321,0.0001870635],"domain_scores_gemma":[0.9972267,0.0008137305,0.0002571639,0.0007330846,0.0006565765,0.0003127508],"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":[0.0000263505,0.000009907348,0.0003270595,0.0004980858,0.00001387745,0.00001418229,0.00002404632,0.0001035708,0.00009978594,0.0003877643,0.9972498,0.001245609],"study_design_scores_gemma":[0.00006642964,0.000006768531,0.001571898,0.0001814244,0.00001351587,0.0000351595,0.00007037452,0.0001236628,0.0001654275,0.000764637,0.9969838,0.00001687478],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003363621,0.0000223663,0.00004614608,0.00003368253,0.00001129512,0.000004877924,0.99885,0.0003611297,0.0006367427],"genre_scores_gemma":[0.0001425305,0.00003153432,0.0001939004,0.00004421923,0.000003328143,0.0000407942,0.9988851,0.0001749076,0.0004837225],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.818259,"threshold_uncertainty_score":0.6079843,"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."}}