{"id":"W6906148254","doi":"10.15468/dl.vbun8h","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":[0.0009863911,0.001848855,0.001592422,0.005149305,0.000979166,0.002552284,0.002634895,0.002108858,0.1489199],"category_scores_gemma":[0.006114537,0.0008817347,0.001266049,0.009738854,0.0004487902,0.002260621,0.002518309,0.001920774,0.2104219],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001601366,"about_ca_system_score_gemma":0.00233645,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02159954,"about_ca_topic_score_gemma":0.03395302,"domain_scores_codex":[0.9989262,0.0001476325,0.0001404146,0.0003739519,0.0002334391,0.0001784321],"domain_scores_gemma":[0.9974361,0.0007636416,0.0002418981,0.0006474264,0.0006310413,0.0002799764],"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":[0.00003113846,0.00001271019,0.0004462357,0.0006688698,0.00001669805,0.00001715477,0.00002588115,0.0001327236,0.0001385554,0.0003768776,0.9965525,0.001580711],"study_design_scores_gemma":[0.00007327845,0.000009812003,0.002264627,0.000237706,0.00001690665,0.00004057195,0.00008638018,0.0001525949,0.0002002568,0.0007012784,0.9961984,0.00001817575],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004552587,0.00003001281,0.00003818615,0.00003743699,0.00001259778,0.000005458279,0.9989275,0.0003254576,0.0005777922],"genre_scores_gemma":[0.0001627915,0.00003749311,0.0001777858,0.00004562801,0.000003712484,0.00004130809,0.9989864,0.0001166014,0.0004282724],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8510801,"threshold_uncertainty_score":0.4981867,"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."}}