{"id":"W6924581681","doi":"10.15468/dl.wyw3tt","title":"Occurrence Download","year":2019,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Evolutionary Algorithms and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Order (exchange)","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":[0.0009018823,0.00197147,0.001459625,0.005035621,0.0009255577,0.002305493,0.002797168,0.00200796,0.1389329],"category_scores_gemma":[0.005471708,0.0007847415,0.001191468,0.008986954,0.0004141301,0.002192661,0.002526646,0.001862771,0.2079866],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001579689,"about_ca_system_score_gemma":0.002296641,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01978637,"about_ca_topic_score_gemma":0.03761734,"domain_scores_codex":[0.9989665,0.0001353345,0.0001324746,0.000352785,0.000240841,0.0001721663],"domain_scores_gemma":[0.9978576,0.0005175042,0.0001841814,0.0005991515,0.0005721468,0.0002694071],"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":[0.00002904754,0.00001129062,0.0003124591,0.0004573358,0.00001355756,0.00001370884,0.00001652426,0.000116295,0.0001154963,0.0003319867,0.9970408,0.00154145],"study_design_scores_gemma":[0.00007379116,0.000008948844,0.00166443,0.0001682105,0.00001303084,0.00003988262,0.00006047563,0.0001843953,0.0002123985,0.0007635662,0.9967952,0.00001564721],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005557925,0.00003913973,0.00005170171,0.0000412259,0.00001474643,0.000007731534,0.9985356,0.0004987752,0.0007555596],"genre_scores_gemma":[0.0001727971,0.00003631414,0.0002056397,0.00004893523,0.000003747036,0.00004169199,0.9989265,0.0001261788,0.000438173],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8610671,"threshold_uncertainty_score":0.464777,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01668464933568682,"score_gpt":0.2246304017416972,"score_spread":0.2079457524060103,"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."}}