{"id":"W6943778111","doi":"10.15468/dl.yftupr","title":"Occurrence Download","year":2023,"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); Alien; 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":[0.001036775,0.001857261,0.001519073,0.004918159,0.0009796998,0.002503327,0.002740857,0.00204233,0.1536918],"category_scores_gemma":[0.00584547,0.0008818659,0.001185384,0.009814807,0.0004561496,0.002202913,0.002428261,0.002007901,0.214056],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001616515,"about_ca_system_score_gemma":0.002374767,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02318252,"about_ca_topic_score_gemma":0.03844596,"domain_scores_codex":[0.9989682,0.0001444063,0.0001290559,0.0003553294,0.0002333418,0.0001696976],"domain_scores_gemma":[0.9974178,0.0007592054,0.0002392288,0.0006709846,0.0006261907,0.000286636],"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":[0.00002759166,0.00001198739,0.0003898926,0.0005058804,0.00001397481,0.00001446564,0.00002338514,0.0001225959,0.0001185405,0.0003773166,0.9969998,0.00139458],"study_design_scores_gemma":[0.00006747327,0.00000837382,0.002059143,0.0001855951,0.00001366842,0.00003531817,0.00007547235,0.0001341445,0.0001905048,0.0007333937,0.9964795,0.0000175321],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004366795,0.00002545655,0.00004283392,0.0000356212,0.00001145899,0.000005186803,0.9988711,0.000334981,0.0006295773],"genre_scores_gemma":[0.0001662499,0.00003209862,0.0001923834,0.0000429959,0.00000336847,0.00004277353,0.9988938,0.000138618,0.0004876866],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8463082,"threshold_uncertainty_score":0.5141504,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02365312271414112,"score_gpt":0.2392044605254057,"score_spread":0.2155513378112646,"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."}}