{"id":"W6962216044","doi":"10.15468/dl.vc6swq","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); Confidentiality; 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":[0.000991873,0.001954386,0.001618282,0.005064064,0.0009928888,0.002615445,0.002867832,0.001981577,0.1581763],"category_scores_gemma":[0.005699551,0.0009459358,0.001185982,0.010737,0.000447949,0.002327408,0.002549023,0.002080529,0.2249047],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001590201,"about_ca_system_score_gemma":0.002376657,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02221126,"about_ca_topic_score_gemma":0.03753529,"domain_scores_codex":[0.9990003,0.000131682,0.0001301533,0.0003425119,0.0002308965,0.0001644527],"domain_scores_gemma":[0.9977009,0.0006409548,0.0002160204,0.0006109752,0.0005590739,0.0002720575],"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":[0.00002729357,0.00001083609,0.0003583638,0.0005477832,0.00001534331,0.0000150476,0.00002692637,0.00012703,0.0001286646,0.0004441247,0.9968105,0.001487901],"study_design_scores_gemma":[0.00005863813,0.000006069452,0.001571011,0.0001679161,0.00001258947,0.00003266737,0.00006822893,0.0001215265,0.0001784438,0.0007454245,0.9970215,0.0000159663],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000412814,0.00002578276,0.00005022434,0.00003202476,0.00001147867,0.000004763086,0.9987696,0.0003630083,0.0007018966],"genre_scores_gemma":[0.0001436887,0.00003307444,0.0002059889,0.00003845354,0.000002898607,0.00003734121,0.9989246,0.0001556742,0.0004582523],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8418237,"threshold_uncertainty_score":0.5291525,"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."}}