{"id":"W6943284639","doi":"10.15468/dl.n8pucz","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); 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":[0.0009295213,0.001946816,0.001636876,0.005227996,0.001013555,0.002544669,0.002912084,0.001914157,0.1476502],"category_scores_gemma":[0.005366815,0.0008979136,0.001103999,0.01059276,0.0004571529,0.002219231,0.002624457,0.001956373,0.2072743],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001683306,"about_ca_system_score_gemma":0.002578845,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02864758,"about_ca_topic_score_gemma":0.04870782,"domain_scores_codex":[0.9990238,0.0001232484,0.0001208586,0.0003319086,0.0002260036,0.0001741884],"domain_scores_gemma":[0.9977921,0.0005716898,0.0002084956,0.0005829643,0.0005713634,0.0002733297],"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":[0.00002864102,0.0000106018,0.0003831938,0.0005260252,0.00001487331,0.00001615296,0.0000269494,0.0001258484,0.0001300622,0.0004245717,0.9968559,0.001457047],"study_design_scores_gemma":[0.00005956143,0.00000633705,0.001728553,0.0001739114,0.0000130604,0.00003635532,0.00007471282,0.0001251394,0.0001886525,0.0006852031,0.996892,0.00001644868],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004201643,0.00002612865,0.00004356946,0.0000300885,0.000009937293,0.00000464673,0.9988275,0.0003688275,0.0006472089],"genre_scores_gemma":[0.0001458077,0.00003119448,0.0001792109,0.00003529553,0.000002579985,0.00003268115,0.9990073,0.0001408595,0.0004250769],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8523498,"threshold_uncertainty_score":0.493939,"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."}}