{"id":"W6924610367","doi":"10.15468/dl.rcuyhp","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; Listing (finance); Matching (statistics); 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":["insufficient_payload"],"category_scores_codex":[0.0008822638,0.002717109,0.00223243,0.0056325,0.001566401,0.005210833,0.003536419,0.002861938,0.5177432],"category_scores_gemma":[0.006952498,0.001114037,0.001845043,0.008981009,0.0004308517,0.005459925,0.005033049,0.002249023,0.6583561],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001627496,"about_ca_system_score_gemma":0.001961122,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01512208,"about_ca_topic_score_gemma":0.02837956,"domain_scores_codex":[0.9988425,0.0001341403,0.0001351811,0.0004016291,0.0002855049,0.0002010004],"domain_scores_gemma":[0.9972219,0.0005885042,0.0001755558,0.0006556567,0.0009673746,0.0003908949],"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":[0.00003132179,0.000008889789,0.0001802082,0.0004183414,0.000008565597,0.00001760031,0.0000194836,0.00005284915,0.00006652574,0.000322408,0.9955585,0.003315331],"study_design_scores_gemma":[0.00003752501,0.000008622458,0.0007165257,0.00015456,0.000008987056,0.00004051817,0.00005984396,0.0001374658,0.000115935,0.001198749,0.9975047,0.0000166022],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000659152,0.0001036325,0.0002373589,0.0001411275,0.00006021265,0.00002025449,0.9882559,0.004253407,0.006862135],"genre_scores_gemma":[0.000396074,0.0001327065,0.0007606407,0.0002425307,0.00002645485,0.00007985062,0.9919336,0.001681379,0.004746673],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4822568,"threshold_uncertainty_score":0.6878808,"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."}}