{"id":"W6962245071","doi":"10.15468/dl.rd3qrh","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); Range (aeronautics); Alien; 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":[0.001014502,0.001973368,0.001590489,0.004904877,0.0009923985,0.002629232,0.002685181,0.002099035,0.1615676],"category_scores_gemma":[0.006250446,0.0008872122,0.00124148,0.00925469,0.0004414742,0.002323023,0.002504041,0.001920981,0.2293111],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001526783,"about_ca_system_score_gemma":0.002289857,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02123134,"about_ca_topic_score_gemma":0.03285923,"domain_scores_codex":[0.998971,0.0001456517,0.0001294174,0.0003615975,0.0002231595,0.0001691438],"domain_scores_gemma":[0.9974263,0.0007678363,0.0002196076,0.0006656985,0.000642754,0.0002777687],"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":[0.00002843357,0.00001198179,0.000415021,0.0005428853,0.00001424133,0.00001567343,0.00002284695,0.000125967,0.0001124499,0.0003352173,0.996922,0.001453405],"study_design_scores_gemma":[0.00007627686,0.000009437309,0.002084334,0.0002110549,0.00001528969,0.00003926628,0.00008336934,0.0001764,0.0001926723,0.000779619,0.9963135,0.00001879407],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004584424,0.00002848579,0.00004496212,0.00003986088,0.00001330587,0.000005897039,0.9987851,0.0004072608,0.0006292484],"genre_scores_gemma":[0.0001778095,0.00003495008,0.000200646,0.0000485169,0.000004178075,0.00004687997,0.9988623,0.0001500303,0.0004747369],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8384324,"threshold_uncertainty_score":0.5404975,"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."}}