{"id":"W6905787535","doi":"10.15468/dl.qh6dpf","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); Range (aeronautics); Alien; 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":[0.001035302,0.001907681,0.001575168,0.004736317,0.001071927,0.002664785,0.002739821,0.002120453,0.1610011],"category_scores_gemma":[0.00664822,0.0009072039,0.001269637,0.008965049,0.0004337822,0.002637606,0.002677957,0.002062009,0.2318559],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001570079,"about_ca_system_score_gemma":0.002411234,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02049748,"about_ca_topic_score_gemma":0.03354042,"domain_scores_codex":[0.9988722,0.0001631599,0.0001409529,0.0004031913,0.0002422792,0.0001781312],"domain_scores_gemma":[0.9971672,0.0008015626,0.0002339199,0.0007752923,0.0007240275,0.0002979822],"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":[0.00002910011,0.00001193303,0.0003788994,0.0005068366,0.00001293325,0.00001451548,0.00002227554,0.0001168042,0.0001074576,0.0003623518,0.9970009,0.001435993],"study_design_scores_gemma":[0.00006622668,0.000008977033,0.001745798,0.0001994973,0.0000129395,0.00003470525,0.00007626651,0.0001618072,0.0001818026,0.0008201389,0.9966743,0.00001759525],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004592546,0.00002883246,0.00005058401,0.00004632161,0.00001487672,0.000006597798,0.9986079,0.0004743617,0.0007244906],"genre_scores_gemma":[0.0001644123,0.00003497991,0.0002234072,0.00005281335,0.000004168036,0.00004668813,0.9988027,0.0001657832,0.0005050626],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8389989,"threshold_uncertainty_score":0.5386024,"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."}}