{"id":"W6905878109","doi":"10.15468/dl.qcw4xg","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","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":[0.001136641,0.002008307,0.001675513,0.005354738,0.001092071,0.002825953,0.003020484,0.002042492,0.1726293],"category_scores_gemma":[0.006607667,0.001006424,0.001176373,0.01047318,0.0004715686,0.002458365,0.002738241,0.002104057,0.23072],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001613453,"about_ca_system_score_gemma":0.002478492,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02126074,"about_ca_topic_score_gemma":0.03605128,"domain_scores_codex":[0.9988206,0.0001599508,0.0001597595,0.000405807,0.0002633648,0.0001904658],"domain_scores_gemma":[0.9972208,0.0008036743,0.0002572333,0.000736021,0.0006709442,0.0003113013],"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":[0.00002729747,0.00001035528,0.0003407059,0.0005237054,0.0000142827,0.00001489074,0.00002457948,0.0001066947,0.0001075317,0.0003906118,0.9971707,0.001268683],"study_design_scores_gemma":[0.00006684502,0.000006861628,0.001625168,0.0001900295,0.00001384836,0.0000375824,0.00007269727,0.0001258888,0.0001740076,0.0007697091,0.9969003,0.00001713212],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003533877,0.00002368667,0.00004721825,0.00003263465,0.00001119668,0.000004937288,0.9988624,0.0003561682,0.0006264063],"genre_scores_gemma":[0.0001428043,0.00003176588,0.0001985114,0.00004144273,0.000003223498,0.00003999127,0.9989238,0.000163744,0.0004546511],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8273708,"threshold_uncertainty_score":0.5775024,"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."}}