{"id":"W6943668380","doi":"10.15468/dl.xxuigf","title":"Occurrence Download","year":2017,"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); Order (exchange); 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":[0.0009433757,0.001960383,0.001668816,0.005248316,0.0009004673,0.002571829,0.00283361,0.00200868,0.1437929],"category_scores_gemma":[0.005864602,0.0008417182,0.001141527,0.01042723,0.00043915,0.002253127,0.002569434,0.002004703,0.2104067],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001495588,"about_ca_system_score_gemma":0.002283299,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01846828,"about_ca_topic_score_gemma":0.03173205,"domain_scores_codex":[0.9990131,0.0001333285,0.0001286907,0.0003340565,0.0002258219,0.0001650193],"domain_scores_gemma":[0.9977009,0.0006299063,0.0002327408,0.0005805238,0.0005886926,0.0002672773],"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":[0.00002956684,0.00001148183,0.0004265487,0.0006276504,0.00001786534,0.00001570732,0.00002423868,0.0001441301,0.0001163932,0.0004085106,0.9966115,0.00156642],"study_design_scores_gemma":[0.00007365318,0.000007613397,0.001824958,0.000213703,0.00001529252,0.00003514475,0.00007021035,0.0001499839,0.0001699143,0.0007724321,0.9966503,0.00001680056],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000432029,0.00003323904,0.00004365284,0.00003250829,0.00001149137,0.000004926682,0.9989225,0.0003324553,0.0005761257],"genre_scores_gemma":[0.0001577139,0.0000370768,0.0001736218,0.00003659514,0.00000333075,0.00003675754,0.9990367,0.0001201412,0.0003981026],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8562071,"threshold_uncertainty_score":0.481035,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02387106755018206,"score_gpt":0.2528130017232275,"score_spread":0.2289419341730454,"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."}}