{"id":"W6924753760","doi":"10.15468/dl.ud5b3d","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); Alien; Range (aeronautics)","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":[0.0009378082,0.00192619,0.001532859,0.004996508,0.0009532974,0.002557779,0.002610922,0.00202514,0.1707552],"category_scores_gemma":[0.00623581,0.0008640717,0.001199528,0.009265111,0.0004267189,0.002340439,0.002539892,0.001892188,0.2366932],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001443324,"about_ca_system_score_gemma":0.002167766,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0195379,"about_ca_topic_score_gemma":0.03099297,"domain_scores_codex":[0.9990132,0.0001347425,0.0001228332,0.0003586389,0.0002095664,0.0001610483],"domain_scores_gemma":[0.9974338,0.0007658139,0.0002320264,0.0006632679,0.0006153646,0.0002898196],"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":[0.00002752596,0.00001095798,0.0004038435,0.0005398521,0.00001364393,0.00001458375,0.00002329304,0.0001215891,0.000104947,0.0003306129,0.9969182,0.001490894],"study_design_scores_gemma":[0.0000707609,0.000009093634,0.001920135,0.0002123608,0.00001430565,0.00003640313,0.00007982979,0.0001719222,0.0001794003,0.0007482063,0.9965403,0.00001734768],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004419086,0.0000279404,0.00004430455,0.00003905112,0.00001352718,0.000005659766,0.9987748,0.0004223736,0.0006281451],"genre_scores_gemma":[0.0001783197,0.00003699215,0.000211666,0.00005202048,0.000004416157,0.00004741862,0.9987854,0.0001718613,0.0005119446],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8292449,"threshold_uncertainty_score":0.5712329,"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."}}