{"id":"W6887322187","doi":"10.15468/dl.xdhmvz","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); The Internet; Range (aeronautics); Alien","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":[0.001060641,0.001920054,0.001597052,0.005107009,0.001028006,0.002615256,0.002787382,0.002118484,0.1567185],"category_scores_gemma":[0.006202023,0.0008866299,0.001207393,0.01011254,0.0004612386,0.002291288,0.00251402,0.002009691,0.2230547],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001635016,"about_ca_system_score_gemma":0.002450243,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02345396,"about_ca_topic_score_gemma":0.03764712,"domain_scores_codex":[0.9989128,0.0001514179,0.0001394948,0.000375256,0.0002404253,0.0001806037],"domain_scores_gemma":[0.9972951,0.0007894284,0.0002481153,0.0006953571,0.0006775444,0.0002945122],"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":[0.00002983385,0.00001206307,0.0004039926,0.0005470011,0.00001452137,0.00001532642,0.00002377965,0.0001247801,0.0001201194,0.0003766372,0.9969145,0.001417464],"study_design_scores_gemma":[0.00007110248,0.000008795181,0.00203051,0.0001987942,0.00001459178,0.00003588148,0.00007829018,0.0001411592,0.0001917802,0.0007755018,0.9964353,0.00001831888],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004147166,0.00002545432,0.00004014077,0.00003543066,0.00001164354,0.00000504865,0.9989188,0.0003278519,0.0005942408],"genre_scores_gemma":[0.0001578668,0.00003197977,0.0001778877,0.00004260983,0.000003406275,0.00004055638,0.9989472,0.0001305487,0.0004679314],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8432815,"threshold_uncertainty_score":0.5242756,"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."}}