{"id":"W6924411493","doi":"10.15468/dl.muv464","title":"Occurrence Download","year":2023,"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); State (computer science); 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":[0.0009127703,0.002029453,0.001676613,0.005112209,0.001140596,0.00280655,0.002939098,0.002265281,0.1546457],"category_scores_gemma":[0.00603315,0.0009479387,0.001473578,0.009602203,0.0004498992,0.00261113,0.002743204,0.002110834,0.2316521],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001615603,"about_ca_system_score_gemma":0.002426024,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01960914,"about_ca_topic_score_gemma":0.03201447,"domain_scores_codex":[0.9988999,0.0001504336,0.0001427961,0.000400957,0.0002212638,0.0001846147],"domain_scores_gemma":[0.9976425,0.0006549216,0.0001970122,0.0006416833,0.0006040838,0.0002597517],"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":[0.00003369606,0.00001271715,0.0004457505,0.0006852626,0.00001738231,0.0000182294,0.00002445768,0.0001314151,0.0001354795,0.0003720891,0.9963451,0.001778369],"study_design_scores_gemma":[0.00007082411,0.000009568023,0.0017962,0.0002207083,0.00001660342,0.00004553157,0.00007402772,0.0001910456,0.0002038866,0.0007761113,0.9965777,0.00001781711],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005409214,0.00004481271,0.00005486003,0.00004815121,0.00001631336,0.000006972775,0.9984751,0.000532261,0.0007674206],"genre_scores_gemma":[0.0001717084,0.00004470003,0.0002085207,0.00005831134,0.000004251805,0.00004318879,0.9988325,0.0001501849,0.0004866147],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8453543,"threshold_uncertainty_score":0.5173414,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02365312271414112,"score_gpt":0.2392044605254057,"score_spread":0.2155513378112646,"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."}}