{"id":"W6887150278","doi":"10.15468/dl.t2swcl","title":"Occurrence Download","year":2020,"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":[0.001021615,0.00197388,0.001589216,0.005549075,0.0008824638,0.00252305,0.002720858,0.001942973,0.1617987],"category_scores_gemma":[0.006079279,0.0009223397,0.001119665,0.01079036,0.0004544329,0.002222948,0.002621608,0.001871463,0.2185904],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001553894,"about_ca_system_score_gemma":0.002332704,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02059316,"about_ca_topic_score_gemma":0.0322527,"domain_scores_codex":[0.9989251,0.0001387697,0.0001493484,0.0003602815,0.0002449504,0.0001814857],"domain_scores_gemma":[0.9973146,0.0007034605,0.0002605522,0.0007179407,0.0006593823,0.0003439806],"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":[0.00003521916,0.00001151393,0.0003605266,0.0005968054,0.00001584773,0.00001544153,0.00002243413,0.0001240335,0.0001291586,0.0003847551,0.9967859,0.001518388],"study_design_scores_gemma":[0.00007919584,0.000008544256,0.002023361,0.0001914573,0.00001459874,0.00003631127,0.00006379253,0.0001389607,0.0001955062,0.000741124,0.9964897,0.00001747551],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003441458,0.00002115396,0.00003237493,0.00002685619,0.000008864953,0.000004630319,0.9990639,0.0002903317,0.0005174036],"genre_scores_gemma":[0.0001369208,0.00002891921,0.0001520477,0.00003771111,0.000002988221,0.00003560134,0.9990988,0.0001174212,0.0003896503],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8382013,"threshold_uncertainty_score":0.5412707,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02101450523743655,"score_gpt":0.226568981422551,"score_spread":0.2055544761851144,"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."}}