{"id":"W6943769960","doi":"10.15468/dl.sqxdz4","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); Alien; Range (aeronautics)","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":[0.0009594004,0.001953942,0.001531667,0.004892987,0.00100875,0.00253158,0.002692001,0.002095641,0.1554606],"category_scores_gemma":[0.005927761,0.0008629748,0.001235783,0.009051008,0.0004371758,0.002357199,0.002507746,0.001927174,0.2230288],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001497325,"about_ca_system_score_gemma":0.002229899,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02116552,"about_ca_topic_score_gemma":0.03348226,"domain_scores_codex":[0.9989946,0.0001434634,0.0001251533,0.0003545001,0.0002167621,0.0001654377],"domain_scores_gemma":[0.9974819,0.0007276515,0.0002207731,0.0006712136,0.0006213901,0.0002770878],"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":[0.00002862913,0.00001212806,0.0004014489,0.000508409,0.00001335493,0.0000155311,0.00002261875,0.0001191731,0.0001119257,0.0003237181,0.99698,0.001463043],"study_design_scores_gemma":[0.00007279075,0.000009746337,0.002056673,0.000202645,0.00001399639,0.00004005846,0.00008296831,0.0001736728,0.0001928703,0.0007277781,0.9964084,0.00001841989],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005124609,0.00003067305,0.00004759123,0.0000429946,0.00001465883,0.0000063615,0.9987094,0.000446941,0.0006500389],"genre_scores_gemma":[0.0001779567,0.00003540021,0.0002073645,0.00004958815,0.000004239746,0.00004745604,0.9988362,0.0001521345,0.0004896358],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8445394,"threshold_uncertainty_score":0.5200675,"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."}}