{"id":"W6887200359","doi":"10.15468/dl.r9m7ev","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; Matching (statistics); Ursus; 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":[0.0008995601,0.001994392,0.001577036,0.00503325,0.0009964976,0.002566615,0.002940389,0.002016458,0.1637726],"category_scores_gemma":[0.005929391,0.0008835496,0.001195593,0.00978304,0.0004501081,0.002223501,0.002506464,0.002018649,0.2268728],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001587125,"about_ca_system_score_gemma":0.002264847,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02244475,"about_ca_topic_score_gemma":0.03641242,"domain_scores_codex":[0.9990393,0.0001222145,0.0001157037,0.0003336536,0.0002274667,0.0001615959],"domain_scores_gemma":[0.9976083,0.0006811214,0.0002051984,0.0006422469,0.0005801609,0.0002831103],"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":[0.00002426995,0.00001092906,0.0003538223,0.0004216327,0.00001221528,0.00001460327,0.00002137808,0.0001157819,0.00009553709,0.0003060999,0.997294,0.001329811],"study_design_scores_gemma":[0.00007047663,0.000008384569,0.001990268,0.0001776789,0.00001464223,0.00004105948,0.0000829361,0.0001931116,0.0002094987,0.0007559571,0.9964386,0.00001747479],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004604715,0.00002607775,0.00004562567,0.00003944669,0.00001223807,0.000005827394,0.9987209,0.0004448258,0.0006589546],"genre_scores_gemma":[0.0001675366,0.0000298908,0.0001931811,0.00004081702,0.00000343236,0.00004378333,0.9988539,0.0001524043,0.0005151037],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8362274,"threshold_uncertainty_score":0.547874,"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."}}