{"id":"W6887175660","doi":"10.15468/dl.r2v6wq","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); Range (aeronautics); Herbarium; Metadata","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":[0.00105181,0.00181864,0.001510554,0.005967387,0.0008539016,0.002469826,0.002633555,0.001777395,0.1905571],"category_scores_gemma":[0.006078366,0.0008687658,0.001145777,0.01067545,0.0003996988,0.002503375,0.002746545,0.001864804,0.2449128],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001596086,"about_ca_system_score_gemma":0.002496452,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01954038,"about_ca_topic_score_gemma":0.03323089,"domain_scores_codex":[0.9988588,0.0001397849,0.0001498511,0.0003772744,0.0002731802,0.0002011859],"domain_scores_gemma":[0.9971123,0.0007100921,0.000290256,0.0007231169,0.0008075892,0.0003566819],"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":[0.00002910661,0.000008718261,0.0003055309,0.0004799074,0.00001304412,0.00001178099,0.00001707879,0.00009323587,0.000114575,0.0003645905,0.9970446,0.001517658],"study_design_scores_gemma":[0.000055729,0.00000705813,0.001747259,0.0001683514,0.00001197142,0.00002888798,0.00005222748,0.0001012653,0.0001763806,0.0006622213,0.9969727,0.0000158743],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000279276,0.00002049317,0.00003550252,0.00002972966,0.00001044367,0.00000458034,0.9989507,0.0003010477,0.0006196284],"genre_scores_gemma":[0.0001363413,0.0000317821,0.0001728458,0.00004595288,0.000003811792,0.00003255615,0.9989288,0.0001379602,0.0005098774],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8094429,"threshold_uncertainty_score":0.6374769,"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."}}