{"id":"W6943841563","doi":"10.15468/dl.xj3wwn","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; Species name","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":[0.001047327,0.001919165,0.001602938,0.004731462,0.001075156,0.002756488,0.002762258,0.002173602,0.1746251],"category_scores_gemma":[0.006858121,0.0009312034,0.001287304,0.008866087,0.0004399463,0.002614242,0.002655526,0.002129115,0.2331966],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001619843,"about_ca_system_score_gemma":0.002402249,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02127912,"about_ca_topic_score_gemma":0.0338299,"domain_scores_codex":[0.9988813,0.0001642889,0.000136409,0.0004049649,0.0002349235,0.0001780082],"domain_scores_gemma":[0.9971301,0.0008677334,0.0002384529,0.0007663704,0.0006974714,0.0002999032],"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":[0.00002701374,0.0000106943,0.0003520241,0.0004857731,0.00001285236,0.0000133145,0.00002101239,0.0001104195,0.00009393261,0.0003443154,0.9972354,0.001293337],"study_design_scores_gemma":[0.00007171467,0.000008601276,0.001759308,0.0002067153,0.00001365196,0.00003328341,0.00007342479,0.0001643525,0.0001716848,0.0008721568,0.9966069,0.0000181325],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003902312,0.00002715014,0.00004506761,0.00004409064,0.00001369616,0.000006156544,0.9987453,0.0004244596,0.0006549293],"genre_scores_gemma":[0.0001691362,0.00003649927,0.0002163294,0.00005810599,0.000004414633,0.00005041615,0.9987646,0.0001780201,0.0005224759],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8253749,"threshold_uncertainty_score":0.5841791,"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."}}