{"id":"W6905839883","doi":"10.15468/dl.qzef9h","title":"Occurrence Download","year":2020,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Fauna; Biodiversity; Species name; Zoogeography; Fishing; CITES; Endangered species; IUCN Red List","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":[0.0008627915,0.002734767,0.002417644,0.007919994,0.001475127,0.005076801,0.002890219,0.001998337,0.4599104],"category_scores_gemma":[0.006035324,0.001055969,0.001795936,0.01311637,0.0003456687,0.004507075,0.004268956,0.001727404,0.5990923],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001762001,"about_ca_system_score_gemma":0.002098973,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02474861,"about_ca_topic_score_gemma":0.03624061,"domain_scores_codex":[0.9986737,0.0001154525,0.000178915,0.0004734474,0.0003098623,0.0002486109],"domain_scores_gemma":[0.9972494,0.0005271913,0.0002084357,0.0006246041,0.001022769,0.0003676231],"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":[0.00003472536,0.000009402562,0.0003260008,0.0004829754,0.00001084896,0.00001897762,0.00001968571,0.00004884048,0.00007795545,0.0002968166,0.9949616,0.003712093],"study_design_scores_gemma":[0.00004262567,0.00001032839,0.001579673,0.0001745341,0.00001051987,0.00003925831,0.00007584679,0.0001079291,0.0001177024,0.0006958003,0.9971291,0.00001675416],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004524703,0.00003884393,0.00007261911,0.00005235733,0.00002834826,0.0000116643,0.9957866,0.001215441,0.002748761],"genre_scores_gemma":[0.0001957564,0.00005992589,0.0003452164,0.000088981,0.00001252521,0.00005550422,0.99641,0.0004823111,0.002349963],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5400896,"threshold_uncertainty_score":0.7703723,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02101450523743655,"score_gpt":0.226568981422551,"score_spread":0.2055544761851144,"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."}}