{"id":"W6943089139","doi":"10.15468/dl.k47p29","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); Alien; 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":[0.001067745,0.002030242,0.001663527,0.004980291,0.001072591,0.00274209,0.002817693,0.002225528,0.1659662],"category_scores_gemma":[0.00653314,0.0009328754,0.001303597,0.009451139,0.0004638196,0.00237898,0.002656088,0.002078864,0.2307683],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001628108,"about_ca_system_score_gemma":0.002428565,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02178365,"about_ca_topic_score_gemma":0.03273391,"domain_scores_codex":[0.9989359,0.0001478264,0.0001326162,0.0003785887,0.0002298883,0.0001751769],"domain_scores_gemma":[0.9973241,0.0008167537,0.0002293153,0.000688334,0.0006528859,0.0002886199],"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":[0.0000300803,0.00001208783,0.0003905075,0.0005872502,0.00001492992,0.00001586852,0.0000234151,0.00012581,0.0001193117,0.0003611766,0.9969169,0.001402598],"study_design_scores_gemma":[0.00008100395,0.000009847919,0.001961784,0.0002314224,0.00001644015,0.00003875867,0.00008020704,0.0001767837,0.0002069215,0.0008255755,0.9963516,0.0000196266],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004228382,0.00002846848,0.00004460694,0.00004019794,0.00001295329,0.000005979914,0.9988058,0.0004143991,0.0006052888],"genre_scores_gemma":[0.0001661261,0.00003603806,0.0001992954,0.0000511273,0.000003844566,0.00004936739,0.9988746,0.0001614897,0.0004580074],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8340338,"threshold_uncertainty_score":0.5552123,"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."}}