{"id":"W6886996772","doi":"10.15468/dl.k34dxy","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":"Range (aeronautics); Microsoft excel; Matching (statistics); Kleptoparasitism","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":["insufficient_payload"],"category_scores_codex":[0.0007861078,0.002483147,0.002192914,0.007181164,0.001300828,0.003684357,0.002408567,0.002341384,0.3523245],"category_scores_gemma":[0.005494436,0.000930735,0.001794183,0.01146674,0.0003838955,0.003252102,0.003559895,0.002155971,0.4504473],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001673714,"about_ca_system_score_gemma":0.002669907,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02372115,"about_ca_topic_score_gemma":0.03952795,"domain_scores_codex":[0.9987955,0.0001311187,0.0001668366,0.0004221185,0.0002651788,0.0002192022],"domain_scores_gemma":[0.9975531,0.0006237501,0.000184901,0.0005803611,0.0006936094,0.0003642774],"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":[0.00004774492,0.0000154219,0.0002754772,0.0006107883,0.00001294012,0.0000201977,0.00002705967,0.0001076655,0.0001164172,0.0005246507,0.9945149,0.00372665],"study_design_scores_gemma":[0.00006472694,0.00001029006,0.001166633,0.0001679011,0.0000127049,0.00003920336,0.00007180325,0.0002170708,0.0001323338,0.0009695363,0.9971274,0.00002033882],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006042425,0.00006841619,0.0001218967,0.00006332105,0.00003661237,0.00001182077,0.9952951,0.001669463,0.002672918],"genre_scores_gemma":[0.0002466659,0.00009221047,0.0006033111,0.0001097275,0.0000109932,0.00005442084,0.9966357,0.0004866266,0.001760339],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6476755,"threshold_uncertainty_score":0.9238304,"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."}}