{"id":"W6943331796","doi":"10.15468/dl.lupc4w","title":"Occurrence Download","year":2018,"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); The Internet","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":[0.0009861919,0.001894484,0.001525477,0.006072213,0.0009481609,0.002498406,0.002746505,0.001910751,0.1538254],"category_scores_gemma":[0.006329785,0.0008395815,0.001126961,0.01122332,0.0004289211,0.002323005,0.002656075,0.001919607,0.214298],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001564527,"about_ca_system_score_gemma":0.002388299,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02200617,"about_ca_topic_score_gemma":0.03812187,"domain_scores_codex":[0.9988825,0.0001527244,0.0001480894,0.0003681881,0.0002587691,0.0001897714],"domain_scores_gemma":[0.9972548,0.0007231502,0.0002745726,0.0007130447,0.000710756,0.0003236551],"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":[0.0000263705,0.00001050958,0.0003894191,0.0004937183,0.00001440063,0.00001479631,0.0000230994,0.0001042324,0.00009958437,0.0003386786,0.9970794,0.001405914],"study_design_scores_gemma":[0.00006468176,0.000007894489,0.002063723,0.000192098,0.00001344653,0.00003580405,0.00007737961,0.0001368539,0.0001709279,0.0006900881,0.996531,0.00001614089],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004308163,0.00002435951,0.00003898613,0.00003194397,0.00001051299,0.000005301317,0.9988992,0.0003457851,0.000600911],"genre_scores_gemma":[0.0001521152,0.00003031504,0.0001690418,0.00003636913,0.000003452197,0.00003908504,0.9990298,0.0001213271,0.0004186239],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8461746,"threshold_uncertainty_score":0.5145972,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01881883250631837,"score_gpt":0.2330296220854826,"score_spread":0.2142107895791642,"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."}}