{"id":"W6887314372","doi":"10.15468/dl.wtvpsh","title":"Occurrence Download","year":2021,"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); 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":[0.001031045,0.002114219,0.001717666,0.005233427,0.001030657,0.00277971,0.003020414,0.002177982,0.2162859],"category_scores_gemma":[0.006579242,0.001062168,0.001197261,0.009211567,0.0004975055,0.00248064,0.002901371,0.002107186,0.2687755],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001772846,"about_ca_system_score_gemma":0.002352788,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02324267,"about_ca_topic_score_gemma":0.03573217,"domain_scores_codex":[0.9990689,0.0001140659,0.000111772,0.0003129201,0.0002223613,0.0001700989],"domain_scores_gemma":[0.9975165,0.0007229741,0.0002184652,0.0006353132,0.0006169637,0.0002898099],"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":[0.00002495848,0.00001044875,0.0003091898,0.0004876745,0.00001161141,0.0000138725,0.00002316121,0.0001029442,0.00008914489,0.0003267004,0.9972376,0.001362751],"study_design_scores_gemma":[0.00007484801,0.00000766872,0.001712294,0.000232555,0.00001402696,0.00003668957,0.00008045181,0.0001660446,0.0001927467,0.0007626027,0.9967025,0.00001759912],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003077912,0.00001936679,0.00004027607,0.00003131619,0.000009930283,0.000005668016,0.9988171,0.0004164047,0.0006292851],"genre_scores_gemma":[0.0001594936,0.00003134099,0.0002220004,0.00004617287,0.000003307604,0.00005626147,0.9987333,0.0002230251,0.000525011],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7837141,"threshold_uncertainty_score":0.7235485,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01878725496536469,"score_gpt":0.2292776369319846,"score_spread":0.2104903819666199,"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."}}