{"id":"W6943265213","doi":"10.15468/dl.pweqzu","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); Confidentiality; Task (project management)","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":[0.001051803,0.001896914,0.001607101,0.004864046,0.001015948,0.002660002,0.002774634,0.002046083,0.1766471],"category_scores_gemma":[0.006315717,0.0009254973,0.001147809,0.009444383,0.0004403478,0.002600542,0.002653175,0.002071436,0.2387932],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001502306,"about_ca_system_score_gemma":0.002290516,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01776497,"about_ca_topic_score_gemma":0.03217275,"domain_scores_codex":[0.9988993,0.000159163,0.0001357258,0.0003954194,0.000236813,0.0001734689],"domain_scores_gemma":[0.9972432,0.0007879258,0.0002504846,0.0007579827,0.0006565693,0.0003038463],"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":[0.00002629164,0.00001039198,0.0003162135,0.0004812116,0.00001285639,0.00001249772,0.00002131423,0.000105903,0.0001001588,0.000385487,0.9972606,0.00126708],"study_design_scores_gemma":[0.00006387084,0.00000701311,0.001455938,0.0001700625,0.00001202897,0.0000297076,0.0000614782,0.0001218883,0.0001639209,0.0008509638,0.997047,0.00001619064],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003673164,0.00002450301,0.0000484768,0.00003697957,0.00001201609,0.000005368879,0.9987325,0.0003845773,0.0007188435],"genre_scores_gemma":[0.0001581862,0.00003329293,0.0002196822,0.00005061406,0.000003788102,0.00004645811,0.9987362,0.0001849,0.0005668933],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8233529,"threshold_uncertainty_score":0.5909435,"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."}}