{"id":"W6905871563","doi":"10.15468/dl.smb2vv","title":"Occurrence Download","year":2018,"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); Data collection; Data set","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":[0.0009974916,0.002004173,0.001653509,0.005240437,0.0009521872,0.002482956,0.002951281,0.002094286,0.1411043],"category_scores_gemma":[0.006215805,0.000849765,0.00120714,0.01018037,0.0004482186,0.002208666,0.002508436,0.002049943,0.1958651],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001541768,"about_ca_system_score_gemma":0.002359072,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01859609,"about_ca_topic_score_gemma":0.0315475,"domain_scores_codex":[0.9989349,0.0001421534,0.0001408049,0.0003745877,0.0002368994,0.0001707263],"domain_scores_gemma":[0.9975023,0.0007007519,0.0002455663,0.0006571195,0.0006103109,0.0002840947],"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":[0.00003231952,0.0000132406,0.0004471482,0.0006170454,0.00001901043,0.00001645902,0.00002302112,0.0001548629,0.0001268351,0.0003809516,0.9966021,0.001566901],"study_design_scores_gemma":[0.00008390106,0.000009921914,0.002125097,0.0002255372,0.000018278,0.00004277265,0.00007209262,0.0001745995,0.0002022817,0.0007802009,0.9962464,0.00001885134],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004555422,0.00003267212,0.00004107043,0.00003400127,0.0000118949,0.000005115402,0.9989759,0.0003245181,0.0005292555],"genre_scores_gemma":[0.0001541632,0.00003309948,0.0001706161,0.0000378312,0.000003265855,0.00003610887,0.9990969,0.0001015612,0.0003664824],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8588958,"threshold_uncertainty_score":0.4720408,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01881883250631837,"score_gpt":0.2330296220854826,"score_spread":0.2142107895791642,"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."}}