{"id":"W6943288319","doi":"10.15468/dl.uvsfz8","title":"Occurrence Download","year":2022,"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); Listing (finance); Range (aeronautics); 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":[0.0009904495,0.001940251,0.001499334,0.004817425,0.001009954,0.00244852,0.002780095,0.001833649,0.1862097],"category_scores_gemma":[0.005906045,0.0009079085,0.00116106,0.008620934,0.0004490881,0.002174095,0.002806485,0.001811889,0.2417609],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00161918,"about_ca_system_score_gemma":0.002450622,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02588298,"about_ca_topic_score_gemma":0.04534078,"domain_scores_codex":[0.9990636,0.0001124565,0.0001171265,0.0003196231,0.0002150634,0.0001722152],"domain_scores_gemma":[0.9975661,0.0006312382,0.0002183906,0.0006458795,0.0006508217,0.0002875916],"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":[0.00002729434,0.000009459181,0.0003765879,0.0005046403,0.00001301864,0.00001402086,0.00002248623,0.000103468,0.0001185377,0.0003415256,0.9970677,0.001401358],"study_design_scores_gemma":[0.00006438943,0.000007246124,0.002045224,0.0002180727,0.00001359827,0.00003404627,0.00006994007,0.0001241963,0.0001923639,0.0007075833,0.9965064,0.00001687037],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002924691,0.0000164031,0.00003543216,0.00002426417,0.000009009494,0.000004687814,0.9990028,0.0003047142,0.0005733888],"genre_scores_gemma":[0.0001412263,0.00002509604,0.0001811389,0.00003790943,0.000002987908,0.0000396964,0.9989998,0.0001436523,0.0004284377],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8137903,"threshold_uncertainty_score":0.6229336,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01850871640220096,"score_gpt":0.2277224731265546,"score_spread":0.2092137567243537,"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."}}