{"id":"W6962028290","doi":"10.15468/dl.kfzdbv","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":"Biodiversity; Download; Biodiversity conservation; Range (aeronautics); Entomology; Data collection","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":[0.0008570938,0.003048807,0.002509648,0.006411037,0.00124475,0.00379115,0.002746013,0.002411134,0.3981947],"category_scores_gemma":[0.006051447,0.001119928,0.002147438,0.009541866,0.0004003843,0.003900695,0.003991533,0.00217787,0.4560926],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001516684,"about_ca_system_score_gemma":0.002459988,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02203594,"about_ca_topic_score_gemma":0.03391785,"domain_scores_codex":[0.9988419,0.0001308985,0.0001602263,0.0004339232,0.0002273439,0.0002057092],"domain_scores_gemma":[0.9974141,0.0007386335,0.0001835944,0.0006446643,0.0006415278,0.0003774845],"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":[0.00005417451,0.00001601996,0.0002614426,0.0005634776,0.00001491711,0.00002059272,0.00002480909,0.0001145649,0.00009021421,0.0003577133,0.9954313,0.003050902],"study_design_scores_gemma":[0.0001256723,0.00001779977,0.001355787,0.000189989,0.00002094128,0.00004964125,0.00009529443,0.0003716064,0.0001870125,0.001544543,0.9960122,0.00002944242],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005668277,0.00004787117,0.0001336953,0.00006351207,0.00003531388,0.00001506235,0.995311,0.002373257,0.001963606],"genre_scores_gemma":[0.0002612449,0.00007557802,0.0007147185,0.0001187667,0.00001148016,0.00008405976,0.996454,0.0006986893,0.001581462],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6018053,"threshold_uncertainty_score":0.8584023,"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."}}