{"id":"W6943923069","doi":"10.15468/dl.zbcxp5","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); Range (aeronautics); State (computer science); Confidentiality","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":[0.0009980486,0.001941702,0.001491278,0.004914263,0.0009925233,0.002412964,0.002779102,0.00211074,0.1398395],"category_scores_gemma":[0.005696407,0.0008672135,0.001145601,0.009145247,0.0004618198,0.002230847,0.002449085,0.002025425,0.1958876],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001517064,"about_ca_system_score_gemma":0.002229037,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02025951,"about_ca_topic_score_gemma":0.0355507,"domain_scores_codex":[0.9989842,0.0001453072,0.0001292172,0.0003535648,0.0002207765,0.0001669428],"domain_scores_gemma":[0.9975811,0.0006964626,0.0002288936,0.0006478279,0.000565105,0.000280472],"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":[0.00002899738,0.0000128615,0.0004108613,0.0005105078,0.00001414363,0.00001620598,0.00002431134,0.0001420757,0.0001204708,0.0003778488,0.9969323,0.001409359],"study_design_scores_gemma":[0.00007598112,0.000009261577,0.001990348,0.0001886295,0.00001426987,0.00004296336,0.00008264931,0.0001833776,0.0001990588,0.000787679,0.996407,0.00001877811],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005417479,0.00002910717,0.00004943323,0.00003961808,0.00001392864,0.000005739051,0.9987884,0.0003855015,0.0006341632],"genre_scores_gemma":[0.0001782338,0.00003138605,0.0002083764,0.00004343999,0.000003593492,0.00004252972,0.9989109,0.0001319177,0.0004496657],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8601605,"threshold_uncertainty_score":0.4678098,"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."}}