{"id":"W6924778131","doi":"10.15468/dl.q3dswx","title":"Occurrence Download","year":2020,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"HIV, TB, and STIs Epidemiology","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Data set","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":[0.001102859,0.00175833,0.001374676,0.004352459,0.0007888919,0.002168422,0.002614066,0.001901564,0.1194061],"category_scores_gemma":[0.005841393,0.0008215944,0.001093052,0.008746773,0.0004216599,0.001709046,0.002013715,0.001806923,0.150976],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001599226,"about_ca_system_score_gemma":0.002321844,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0227305,"about_ca_topic_score_gemma":0.03477626,"domain_scores_codex":[0.9990413,0.0001553306,0.0001305129,0.0003104251,0.0002112728,0.000151176],"domain_scores_gemma":[0.9977175,0.0006874864,0.0002394399,0.0005445999,0.0005184601,0.0002925142],"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":[0.00003225213,0.00001325128,0.0005019802,0.0004910479,0.00001729519,0.00001554862,0.00002114804,0.0001790136,0.0000916104,0.0003990523,0.996879,0.001358764],"study_design_scores_gemma":[0.000117114,0.00001101366,0.00287909,0.0002097112,0.00001856626,0.00004676545,0.00007464863,0.0002745817,0.0001997152,0.0009370643,0.9952123,0.00001941683],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004458915,0.00002448611,0.00003729181,0.00003647049,0.000009770044,0.000005023905,0.9991388,0.0002573913,0.0004461235],"genre_scores_gemma":[0.000175551,0.00002983362,0.000158397,0.00004172471,0.000003254174,0.00003719031,0.9991121,0.0000851163,0.0003568062],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8805939,"threshold_uncertainty_score":0.3994532,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0366378897761897,"score_gpt":0.2835928457715203,"score_spread":0.2469549559953306,"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."}}