{"id":"W6943467452","doi":"10.15468/dl.qtq8vz","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":"Matching (statistics); Download; Alien; Range (aeronautics); State (computer science)","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":[0.0009375231,0.002080463,0.001530938,0.004989447,0.0009673393,0.002465809,0.002630335,0.001962963,0.1617915],"category_scores_gemma":[0.005931041,0.0009036211,0.001212684,0.009869291,0.0004472926,0.002073071,0.002485167,0.001787358,0.2164251],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001470331,"about_ca_system_score_gemma":0.002286293,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02091333,"about_ca_topic_score_gemma":0.03244493,"domain_scores_codex":[0.9989799,0.0001392275,0.0001305882,0.0003654902,0.0002113426,0.000173355],"domain_scores_gemma":[0.997604,0.0007010867,0.0002336426,0.0006004029,0.000592582,0.000268255],"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":[0.00003490991,0.00001245793,0.0004284118,0.0005932101,0.00001537288,0.00001572511,0.00002304901,0.0001373994,0.0001346303,0.0003613289,0.9967507,0.001492864],"study_design_scores_gemma":[0.00008508109,0.00001148716,0.001995629,0.0002018056,0.0000166884,0.00003880388,0.00007178073,0.0001589657,0.0002113307,0.0007923686,0.9963965,0.00001959014],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004619415,0.00002735879,0.00003798127,0.00003225822,0.00001193199,0.000005134906,0.9988725,0.0003611662,0.0006055264],"genre_scores_gemma":[0.0001641619,0.00003430293,0.0001855142,0.00004538752,0.000003575716,0.00004253301,0.9989358,0.0001423111,0.000446542],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8382086,"threshold_uncertainty_score":0.5412464,"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."}}