{"id":"W6905761186","doi":"10.15468/dl.fxtfm9","title":"Occurrence Download","year":2024,"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); Data set; Set (abstract data type)","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":[0.001069904,0.001989619,0.001627004,0.006005181,0.001094038,0.00266825,0.002865049,0.002063749,0.1736729],"category_scores_gemma":[0.006281908,0.0009616063,0.001211733,0.01054032,0.0004880634,0.002449762,0.002994831,0.002092673,0.2542928],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001562735,"about_ca_system_score_gemma":0.002606286,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0186226,"about_ca_topic_score_gemma":0.03286323,"domain_scores_codex":[0.9987698,0.0001585093,0.0001623852,0.0004105476,0.0002924498,0.0002063016],"domain_scores_gemma":[0.9970721,0.0007474538,0.0002827345,0.0008050994,0.0007427505,0.0003497638],"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":[0.00003153656,0.00001207836,0.0003675092,0.0005669523,0.00001427972,0.0000152614,0.00002551786,0.0001019581,0.0001507461,0.0004049043,0.996734,0.001575223],"study_design_scores_gemma":[0.00005905463,0.000007726184,0.001655444,0.0001753956,0.00001281979,0.00003539081,0.00006574149,0.00009842021,0.0002062552,0.000716239,0.9969506,0.00001690205],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004130268,0.00002684827,0.00004479116,0.00003429318,0.00001223259,0.000005569893,0.9987348,0.0003936545,0.0007065898],"genre_scores_gemma":[0.0001481166,0.00003423364,0.0002096477,0.00004670062,0.000003608625,0.00003855905,0.998823,0.0001584332,0.0005377388],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8263271,"threshold_uncertainty_score":0.5809938,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01708767307206114,"score_gpt":0.2335971948231368,"score_spread":0.2165095217510757,"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."}}