{"id":"W6905941553","doi":"10.15468/dl.cxqhw2","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":[0.001039498,0.001874236,0.001551023,0.005175218,0.001023324,0.002628042,0.002919397,0.002023882,0.1715885],"category_scores_gemma":[0.00608657,0.000948174,0.001176782,0.009444222,0.0004763245,0.002485275,0.002841175,0.002068418,0.2324523],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001530582,"about_ca_system_score_gemma":0.002441974,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0194628,"about_ca_topic_score_gemma":0.03652011,"domain_scores_codex":[0.9988928,0.0001511467,0.000143524,0.0003789701,0.00024819,0.0001854211],"domain_scores_gemma":[0.9972193,0.0007293916,0.0002570622,0.0007926733,0.0006784,0.0003231656],"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":[0.00002859646,0.00001158566,0.0003539195,0.0005061388,0.00001473854,0.00001410815,0.00002431535,0.0001015629,0.0001271637,0.0004013516,0.9970341,0.00138233],"study_design_scores_gemma":[0.00006195257,0.000007143899,0.0016101,0.0001704257,0.00001308886,0.00003335535,0.00006402538,0.0001086879,0.0001916947,0.0007575983,0.9969652,0.0000166629],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004033562,0.00002394919,0.00004634095,0.00003477472,0.00001170446,0.000005645547,0.9987468,0.0003907051,0.0006998756],"genre_scores_gemma":[0.0001442613,0.00002976453,0.000199354,0.00004497912,0.000003258516,0.00004010002,0.9989177,0.0001550649,0.0004655468],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8284115,"threshold_uncertainty_score":0.5740206,"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."}}