{"id":"W6943738272","doi":"10.15468/dl.tpfh4x","title":"Occurrence Download","year":2020,"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); Listing (finance); 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":[0.001225248,0.002033368,0.001684961,0.007226569,0.0008676568,0.002525753,0.002861558,0.001665817,0.2459041],"category_scores_gemma":[0.006962272,0.001049856,0.001079953,0.01233252,0.0004468863,0.002585156,0.002913447,0.00167048,0.2798428],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001870327,"about_ca_system_score_gemma":0.002742227,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02873608,"about_ca_topic_score_gemma":0.04255093,"domain_scores_codex":[0.9989558,0.0001236592,0.0001438126,0.0003401757,0.0002396194,0.0001968872],"domain_scores_gemma":[0.9968202,0.0008121544,0.0003098307,0.0007493853,0.0009022699,0.0004062234],"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":[0.00002504829,0.00000677092,0.0002646251,0.0005348509,0.00001125887,0.00001176683,0.00001844663,0.00007876394,0.00007962257,0.0003160248,0.9971883,0.001464666],"study_design_scores_gemma":[0.00005525384,0.000005803513,0.001816764,0.0002172966,0.00001194733,0.00002716005,0.00005538869,0.00008272054,0.0001528179,0.0005625442,0.9969966,0.00001576539],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00001744662,0.00001387396,0.00002433553,0.00001986284,0.000006700701,0.000003918551,0.99915,0.0002350331,0.0005288147],"genre_scores_gemma":[0.0001158542,0.0000289406,0.0001520862,0.00003615747,0.000003110844,0.00003970032,0.9989421,0.0001608061,0.0005213586],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7540959,"threshold_uncertainty_score":0.8226312,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02101450523743655,"score_gpt":0.226568981422551,"score_spread":0.2055544761851144,"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."}}