{"id":"W6887086953","doi":"10.15468/dl.nucjbq","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); Information system; Confidentiality","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":[0.001028326,0.001965744,0.001638458,0.00586498,0.0008855745,0.002424449,0.002766964,0.001934649,0.1766285],"category_scores_gemma":[0.006269002,0.0009591678,0.001193242,0.01148139,0.0004494555,0.002433576,0.002535196,0.001936425,0.2346557],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001648028,"about_ca_system_score_gemma":0.002366629,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0223409,"about_ca_topic_score_gemma":0.03433233,"domain_scores_codex":[0.9988732,0.0001466243,0.0001528565,0.0003843845,0.0002561652,0.0001867545],"domain_scores_gemma":[0.9971231,0.0007606404,0.0002735085,0.0007388427,0.0007511207,0.0003528676],"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":[0.00002904079,0.00001024539,0.0003495013,0.0005103676,0.00001453821,0.00001278999,0.00002024729,0.0001215948,0.0001010593,0.0003325921,0.9970859,0.001412219],"study_design_scores_gemma":[0.00007368828,0.000008878637,0.002150757,0.000180567,0.00001473132,0.00003571314,0.00007269496,0.0001544058,0.0001752758,0.0006542986,0.9964617,0.00001733338],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000324707,0.00002129572,0.00003158239,0.00002789365,0.000009617417,0.000004054817,0.9991235,0.0002659401,0.0004836647],"genre_scores_gemma":[0.0001282879,0.0000282635,0.0001475118,0.00003302835,0.000003080497,0.00003090482,0.9990902,0.0001071713,0.0004314548],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8233715,"threshold_uncertainty_score":0.590881,"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."}}