{"id":"W6924338342","doi":"10.15468/dl.nebh95","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); Set (abstract data type); 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":[0.001104944,0.001941029,0.001686129,0.005437418,0.001040029,0.002850194,0.002878964,0.002032237,0.1777049],"category_scores_gemma":[0.006374452,0.0009700204,0.001151924,0.01093787,0.0004441674,0.002468209,0.002607608,0.002015936,0.2418898],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001644967,"about_ca_system_score_gemma":0.00244207,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02186537,"about_ca_topic_score_gemma":0.03626801,"domain_scores_codex":[0.9988285,0.000157023,0.0001595003,0.0004036081,0.0002619668,0.0001893564],"domain_scores_gemma":[0.9973252,0.0007760596,0.0002576658,0.0006862197,0.0006512096,0.0003037328],"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":[0.00002708591,0.000009792769,0.0003433657,0.0005229712,0.00001437722,0.00001389107,0.00002320225,0.0001088991,0.0001058379,0.0003790999,0.9970772,0.001374306],"study_design_scores_gemma":[0.00006203611,0.000006768315,0.001680273,0.0001898528,0.00001391048,0.00003337657,0.00006871102,0.0001255346,0.0001663301,0.0007130341,0.9969234,0.00001673708],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003160038,0.00002346912,0.00004100742,0.00002995027,0.00001035777,0.000004325276,0.9989492,0.000317661,0.0005924684],"genre_scores_gemma":[0.0001358014,0.0000324868,0.0001809204,0.00003949545,0.000003218332,0.0000362348,0.9989688,0.000151158,0.0004519332],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8222951,"threshold_uncertainty_score":0.5944822,"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."}}