{"id":"W6943557943","doi":"10.15468/dl.qtwcfx","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); Data set; Set (abstract data type)","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":[0.0009520234,0.001834295,0.001477143,0.005589241,0.0008161584,0.002233324,0.002597382,0.001677141,0.149491],"category_scores_gemma":[0.005253399,0.0008100133,0.001105621,0.01140737,0.0004140922,0.002112784,0.002255829,0.001653341,0.1987827],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00161781,"about_ca_system_score_gemma":0.002539457,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02963536,"about_ca_topic_score_gemma":0.04471463,"domain_scores_codex":[0.9989945,0.0001224822,0.0001352103,0.0003296604,0.0002429994,0.0001752327],"domain_scores_gemma":[0.9975902,0.0005975143,0.0002373792,0.0006197838,0.0006625111,0.0002926035],"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":[0.00003206725,0.00001001864,0.0004302427,0.0005158181,0.00001635564,0.00001593479,0.00002246877,0.0001563901,0.0001320058,0.0003849116,0.9965643,0.001719359],"study_design_scores_gemma":[0.00005763561,0.000007954211,0.0024166,0.000175523,0.0000148295,0.00003868162,0.00007422676,0.0001548536,0.0002149535,0.0006857155,0.9961402,0.00001901254],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003749369,0.00002238101,0.00003521162,0.00002665757,0.000009280579,0.000003867703,0.9990305,0.000301138,0.0005334151],"genre_scores_gemma":[0.000150958,0.00002851828,0.0001497855,0.00003157782,0.000002789268,0.00002648201,0.9990836,0.0001021075,0.0004241311],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.850509,"threshold_uncertainty_score":0.500097,"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."}}