{"id":"W6887346676","doi":"10.15468/dl.zfa37r","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); 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":[0.001101993,0.001937684,0.001584625,0.005129537,0.001016206,0.002683177,0.002851515,0.002040603,0.1560237],"category_scores_gemma":[0.006275856,0.000960018,0.001148983,0.009947993,0.0004582306,0.002339991,0.002566393,0.002033458,0.219124],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001657401,"about_ca_system_score_gemma":0.002415232,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02226916,"about_ca_topic_score_gemma":0.03584402,"domain_scores_codex":[0.9988619,0.0001562531,0.0001538416,0.0003941092,0.0002538278,0.0001799994],"domain_scores_gemma":[0.9973232,0.0007749096,0.0002586233,0.0006922157,0.0006515909,0.0002994817],"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":[0.00002792759,0.00001067811,0.0003788151,0.000511751,0.00001476746,0.00001533764,0.00002425028,0.0001188173,0.0001135162,0.0003905328,0.9970962,0.001297426],"study_design_scores_gemma":[0.00006932723,0.000007454979,0.00183452,0.0001877277,0.00001406877,0.00003872551,0.00007543853,0.0001430233,0.0001848488,0.0007208338,0.9967065,0.00001741148],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003748497,0.00002319281,0.00004332926,0.00003326729,0.0000108155,0.000004722689,0.998942,0.0003287299,0.0005765737],"genre_scores_gemma":[0.0001482017,0.00002993981,0.0001833036,0.00004011306,0.000003180695,0.00003859402,0.9989929,0.0001374952,0.0004263761],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8439763,"threshold_uncertainty_score":0.5219512,"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."}}