{"id":"W6905956347","doi":"10.15468/dl.se86me","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); Range (aeronautics); Alien; Data set","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":[0.001023447,0.00193224,0.001619,0.005169467,0.001048696,0.002606621,0.002768971,0.002170749,0.1631867],"category_scores_gemma":[0.006260868,0.0008989332,0.001266648,0.01011148,0.000456605,0.002340376,0.002507728,0.001976041,0.2316278],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001702466,"about_ca_system_score_gemma":0.002484184,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02360919,"about_ca_topic_score_gemma":0.03576276,"domain_scores_codex":[0.9989135,0.0001488155,0.0001378757,0.0003816997,0.0002387373,0.0001793437],"domain_scores_gemma":[0.9973653,0.0007977068,0.0002356252,0.000657737,0.0006677401,0.000275941],"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":[0.00003055662,0.00001226967,0.0004008842,0.0005995474,0.00001433676,0.00001573531,0.00002342757,0.000116807,0.0001259666,0.0003498961,0.9968079,0.001502608],"study_design_scores_gemma":[0.00007057158,0.000009191159,0.002054507,0.0002245069,0.00001557659,0.00003801167,0.0000829099,0.0001476359,0.000206439,0.0007207684,0.9964117,0.00001816787],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004185823,0.00002838806,0.0000401006,0.0000369871,0.00001165908,0.000005481706,0.9988692,0.0003523553,0.0006138395],"genre_scores_gemma":[0.0001660649,0.00003705254,0.0001878467,0.00004746528,0.000003706334,0.00004454785,0.9988954,0.0001410272,0.0004768295],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8368133,"threshold_uncertainty_score":0.5459138,"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."}}