{"id":"W6924774609","doi":"10.15468/dl.ugw7kg","title":"Occurrence Download","year":2022,"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; Confidentiality","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":[0.0009685013,0.001870141,0.001513559,0.004605428,0.0009563031,0.002541185,0.002608953,0.001992021,0.1627627],"category_scores_gemma":[0.005970275,0.0008693695,0.001203017,0.008598466,0.0004258288,0.002281625,0.00250048,0.001866915,0.2372723],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001428784,"about_ca_system_score_gemma":0.002138956,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01963989,"about_ca_topic_score_gemma":0.03138921,"domain_scores_codex":[0.9990327,0.0001359616,0.0001189689,0.0003482729,0.0002075072,0.0001566375],"domain_scores_gemma":[0.9975418,0.0007244173,0.0002137887,0.0006376614,0.0006137116,0.0002686713],"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":[0.00002583439,0.00001117332,0.0003999592,0.0004902553,0.00001355358,0.0000142582,0.00002126076,0.0001147876,0.0001032975,0.0003202056,0.997084,0.001401483],"study_design_scores_gemma":[0.00007043703,0.000009143634,0.002071638,0.0002040563,0.00001479944,0.00003802896,0.00008074236,0.0001743189,0.0001912192,0.0007614145,0.9963661,0.00001795539],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004598347,0.00002723776,0.00004547085,0.0000394817,0.00001381659,0.000005679351,0.9987742,0.0004041296,0.000644014],"genre_scores_gemma":[0.0001782738,0.00003356284,0.0002058712,0.00005022954,0.000004375338,0.00004657828,0.9988149,0.000155481,0.0005106883],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8372373,"threshold_uncertainty_score":0.5444955,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01850871640220096,"score_gpt":0.2277224731265546,"score_spread":0.2092137567243537,"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."}}