{"id":"W6887072615","doi":"10.15468/dl.n9n8hr","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":"Download; 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":[],"category_scores_codex":[0.001037233,0.001983555,0.001547504,0.005429162,0.001006486,0.002384155,0.002889323,0.002075719,0.1710819],"category_scores_gemma":[0.006502806,0.0009663528,0.00112501,0.009940908,0.0004437224,0.002498417,0.002536801,0.002059464,0.2207022],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001795318,"about_ca_system_score_gemma":0.002516683,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02381382,"about_ca_topic_score_gemma":0.03863341,"domain_scores_codex":[0.9988582,0.0001493851,0.0001413295,0.0003814868,0.0002840737,0.0001854352],"domain_scores_gemma":[0.9970426,0.0007964257,0.0002586326,0.0007858637,0.0007785695,0.00033794],"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":[0.00002860554,0.00001146035,0.0003247588,0.0004072372,0.00001164327,0.00001377479,0.00002023463,0.0001165561,0.0001031887,0.0003314257,0.9972421,0.001389032],"study_design_scores_gemma":[0.00007394384,0.000009139545,0.002079882,0.0001736386,0.00001296611,0.00003964196,0.00008027103,0.0001821733,0.0002225156,0.000720966,0.9963861,0.00001871905],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004414123,0.00002147775,0.00004611474,0.00003684334,0.00001131027,0.000005374693,0.9987848,0.0004059185,0.0006440277],"genre_scores_gemma":[0.0001621244,0.00002636025,0.0001999141,0.00003804201,0.000003192362,0.00004082573,0.9988824,0.0001482204,0.0004990638],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8289182,"threshold_uncertainty_score":0.5723258,"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."}}