{"id":"W6905912953","doi":"10.15468/dl.n8ykyk","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); Alien; Range (aeronautics)","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":[0.0009818615,0.001930769,0.001611894,0.005332552,0.0009957118,0.002800675,0.002681633,0.001990933,0.1851764],"category_scores_gemma":[0.00645353,0.0008940063,0.001234358,0.01000391,0.0004335532,0.002350734,0.002596713,0.001953091,0.251522],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001552045,"about_ca_system_score_gemma":0.002253417,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02039099,"about_ca_topic_score_gemma":0.03163275,"domain_scores_codex":[0.9989943,0.0001377577,0.0001250299,0.0003551157,0.0002194186,0.0001683705],"domain_scores_gemma":[0.9975038,0.000777397,0.0002206096,0.000604752,0.0006201534,0.0002733516],"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":[0.00002813066,0.00001074007,0.0003600368,0.000614495,0.00001445665,0.00001468403,0.00002435676,0.0001141656,0.0001088388,0.0003571074,0.9968329,0.001520066],"study_design_scores_gemma":[0.00006632063,0.000008342849,0.00179951,0.0002352518,0.00001529706,0.0000338597,0.00007699222,0.0001399846,0.0001761568,0.0007554696,0.9966757,0.00001703664],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000376667,0.00002980102,0.000040744,0.00003683453,0.00001164493,0.000005384708,0.9988212,0.0003652823,0.000651414],"genre_scores_gemma":[0.0001644323,0.0000413872,0.0001915848,0.00004926955,0.00000395189,0.00004856415,0.998782,0.0001710804,0.0005478408],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8148236,"threshold_uncertainty_score":0.6194766,"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."}}