{"id":"W6962453331","doi":"10.15468/dl.syfded","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); Data set; 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":[0.001144899,0.001957471,0.00166233,0.005340395,0.001077806,0.002682551,0.002940364,0.00207665,0.1661676],"category_scores_gemma":[0.006614876,0.0009711846,0.001133189,0.01036091,0.000468734,0.002310013,0.002668223,0.00208236,0.2260812],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001676788,"about_ca_system_score_gemma":0.002504721,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02191963,"about_ca_topic_score_gemma":0.03598722,"domain_scores_codex":[0.9988706,0.0001485442,0.0001484971,0.0003862272,0.0002629889,0.0001830895],"domain_scores_gemma":[0.9972843,0.0007868871,0.0002559634,0.0006907023,0.0006737701,0.0003083806],"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":[0.00002848142,0.0000113504,0.0003660136,0.0005352644,0.00001437505,0.00001574709,0.00002493631,0.0001159307,0.0001274902,0.000399106,0.9970238,0.001337436],"study_design_scores_gemma":[0.00007112067,0.000007869102,0.001877129,0.0001910345,0.00001439894,0.00003857379,0.00007461396,0.0001306722,0.000196357,0.000728788,0.9966512,0.00001833301],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003927945,0.00002405872,0.0000451924,0.00003407078,0.0000114433,0.000004901643,0.9988666,0.0003551425,0.0006193636],"genre_scores_gemma":[0.000154586,0.00003033875,0.0001915761,0.00004100689,0.000003195483,0.00004219705,0.9989268,0.0001610229,0.0004492014],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8338324,"threshold_uncertainty_score":0.555886,"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."}}