{"id":"W6943264194","doi":"10.15468/dl.vjvrtz","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); Linked data","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":[0.001142297,0.002042263,0.001682806,0.00531227,0.001072621,0.002774525,0.00306807,0.002156218,0.1640723],"category_scores_gemma":[0.006506614,0.001003052,0.00118932,0.01029253,0.000478135,0.002467134,0.002650229,0.002099183,0.2317902],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001717986,"about_ca_system_score_gemma":0.002557219,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02352449,"about_ca_topic_score_gemma":0.0380814,"domain_scores_codex":[0.9988168,0.0001567773,0.0001570009,0.0004109306,0.0002662937,0.0001922059],"domain_scores_gemma":[0.9972444,0.0007783818,0.0002597382,0.0007239538,0.0006790579,0.0003145394],"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":[0.00002689834,0.00001057505,0.0003346565,0.0005001494,0.00001414913,0.00001458503,0.00002305442,0.0001112836,0.0001138015,0.0003846301,0.9972204,0.001245815],"study_design_scores_gemma":[0.00006810521,0.000007244699,0.001675148,0.0001872723,0.00001418408,0.00003731772,0.00007135513,0.0001361069,0.0001866605,0.0007383035,0.9968606,0.00001782554],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003482193,0.0000236229,0.00004421629,0.00003354488,0.00001106524,0.000004727143,0.9989015,0.0003526378,0.0005939679],"genre_scores_gemma":[0.0001365575,0.0000301539,0.0001809985,0.00004119089,0.000003022179,0.00003674942,0.9990006,0.0001471089,0.0004236019],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8359277,"threshold_uncertainty_score":0.5488766,"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."}}