{"id":"W6887332461","doi":"10.15468/dl.v7vk29","title":"Occurrence Download","year":2021,"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); Information center; Center (category theory); Data center","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":[0.0009951475,0.001972089,0.00151248,0.00482427,0.0009350281,0.002382747,0.002783888,0.002044605,0.1528685],"category_scores_gemma":[0.006184681,0.0009177584,0.001162848,0.009338493,0.000446876,0.002348386,0.002403896,0.002020454,0.2011886],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001693021,"about_ca_system_score_gemma":0.002387048,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02348067,"about_ca_topic_score_gemma":0.03827316,"domain_scores_codex":[0.9989738,0.0001303617,0.0001267923,0.0003716477,0.0002243405,0.0001730042],"domain_scores_gemma":[0.9974643,0.0007119804,0.0002385983,0.0006630823,0.0006307451,0.0002911415],"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":[0.00002847076,0.00001117593,0.0003846068,0.0004408935,0.00001366318,0.00001360523,0.0000206374,0.0001436957,0.0001023658,0.0003519626,0.9971828,0.001306066],"study_design_scores_gemma":[0.0000751562,0.000008597449,0.001935035,0.0001766773,0.00001397645,0.00003392279,0.00007020718,0.0001993844,0.0002037148,0.0007818558,0.9964837,0.00001770493],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004176702,0.00002143488,0.00004074136,0.00003334104,0.00001127445,0.000005226932,0.9989107,0.0003765447,0.0005589884],"genre_scores_gemma":[0.0001536283,0.00002491592,0.000178632,0.00003693843,0.000003032559,0.00003986978,0.9990036,0.0001320137,0.0004273271],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8471315,"threshold_uncertainty_score":0.5113961,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01878725496536469,"score_gpt":0.2292776369319846,"score_spread":0.2104903819666199,"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."}}