{"id":"W6887029458","doi":"10.15468/dl.mpfdgn","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":[0.0009990309,0.002000002,0.001586481,0.004811768,0.001022508,0.002596345,0.002691128,0.002209194,0.1558212],"category_scores_gemma":[0.006398111,0.0009176272,0.001310659,0.008868056,0.0004509416,0.002520957,0.00265158,0.002019796,0.2149852],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001548361,"about_ca_system_score_gemma":0.002294989,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02087719,"about_ca_topic_score_gemma":0.03270538,"domain_scores_codex":[0.9989309,0.0001543132,0.0001365462,0.0003815288,0.0002239767,0.0001726432],"domain_scores_gemma":[0.9972841,0.0008321442,0.0002337968,0.0007325599,0.0006218175,0.0002956334],"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":[0.00003208605,0.0000128816,0.0003995318,0.0005725796,0.00001479512,0.00001612085,0.00002434369,0.0001394437,0.0001183664,0.0003526881,0.9968299,0.00148721],"study_design_scores_gemma":[0.00008232254,0.00001073572,0.002059183,0.0002169471,0.00001554562,0.00004091578,0.00008563219,0.0002008718,0.0001972948,0.0008378081,0.9962332,0.00001966678],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004908097,0.00002914745,0.00004837509,0.00004501878,0.00001507214,0.00000640805,0.9987342,0.0004676738,0.0006051135],"genre_scores_gemma":[0.000175495,0.00003564654,0.0002154363,0.00005268352,0.00000418429,0.00004679218,0.998859,0.0001553773,0.0004553853],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8441788,"threshold_uncertainty_score":0.5212739,"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."}}