{"id":"W6905753924","doi":"10.15468/dl.mupt4k","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); Range (aeronautics); Confidentiality; Order (exchange)","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":[0.0008608158,0.001859089,0.001468176,0.004889153,0.001019191,0.002609526,0.002674308,0.00197727,0.1775073],"category_scores_gemma":[0.006077516,0.0009017797,0.001090691,0.009694664,0.0004483412,0.002485287,0.00258261,0.002039715,0.2335102],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001723526,"about_ca_system_score_gemma":0.002348921,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02535347,"about_ca_topic_score_gemma":0.04249363,"domain_scores_codex":[0.9990783,0.0001176623,0.0001107681,0.00031894,0.0002155429,0.0001587343],"domain_scores_gemma":[0.997617,0.0007033867,0.0002086946,0.0005641566,0.0006415452,0.0002651355],"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":[0.00002465547,0.00001045052,0.0003766434,0.0004995757,0.00001182646,0.00001485576,0.00002699725,0.0001151592,0.0001020627,0.0003863326,0.9969282,0.001503364],"study_design_scores_gemma":[0.00005856681,0.000006704176,0.001644644,0.0001987435,0.00001173294,0.000034664,0.0000927993,0.000150581,0.0001731959,0.0007715595,0.9968398,0.00001702616],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004385756,0.00002606235,0.00005129166,0.00004003343,0.00001246709,0.000005377035,0.9986103,0.0004444529,0.0007661827],"genre_scores_gemma":[0.0001916091,0.0000368826,0.0002560352,0.00004832367,0.00000378178,0.00004538606,0.9986445,0.0002038066,0.0005695916],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8224927,"threshold_uncertainty_score":0.5938212,"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."}}