{"id":"W6905842045","doi":"10.15468/dl.p6e3f8","title":"Occurrence Download","year":2021,"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); Data set","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":[0.001104504,0.001968357,0.001736841,0.005413931,0.0009392841,0.002555523,0.002887786,0.00210725,0.1561529],"category_scores_gemma":[0.00657044,0.0009345934,0.001203158,0.01091636,0.0004522757,0.002234334,0.002430574,0.002006615,0.2065294],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001627631,"about_ca_system_score_gemma":0.002351418,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02077256,"about_ca_topic_score_gemma":0.0332242,"domain_scores_codex":[0.9988365,0.0001609818,0.0001622425,0.0003917571,0.0002613186,0.0001872091],"domain_scores_gemma":[0.9971105,0.000837982,0.0002798063,0.0007482743,0.0007032917,0.0003201455],"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":[0.0000323714,0.0000120388,0.0004045263,0.0006010629,0.00001708658,0.00001526289,0.00002194391,0.0001431421,0.0001189262,0.0003685319,0.9968517,0.001413306],"study_design_scores_gemma":[0.00008647639,0.00000921011,0.002183194,0.0002129994,0.00001674342,0.00003779056,0.00007061035,0.0001602926,0.0001928224,0.0007456402,0.9962652,0.00001889698],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003529573,0.00002298428,0.0000327309,0.00002931579,0.000009101672,0.000004637401,0.9991473,0.0002608636,0.0004577298],"genre_scores_gemma":[0.0001417929,0.00002954523,0.0001586676,0.00003697452,0.000003119189,0.0000393142,0.9991125,0.0001045393,0.0003735652],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8438471,"threshold_uncertainty_score":0.5223835,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01878725496536469,"score_gpt":0.2292776369319846,"score_spread":0.2104903819666199,"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."}}