{"id":"W6962367985","doi":"10.15468/dl.zxua39","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":[0.001158737,0.001986742,0.001681181,0.005248144,0.001086443,0.002824209,0.00299723,0.002062933,0.1763033],"category_scores_gemma":[0.006868606,0.001007863,0.001173975,0.01065464,0.0004602337,0.002457763,0.002655664,0.002094914,0.2407976],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001699075,"about_ca_system_score_gemma":0.002529026,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02346238,"about_ca_topic_score_gemma":0.03750438,"domain_scores_codex":[0.9988424,0.0001557358,0.0001527035,0.000400131,0.0002650587,0.0001841002],"domain_scores_gemma":[0.9971538,0.0008086837,0.0002598593,0.0007360789,0.0007392883,0.0003023329],"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":[0.00002577575,0.000009663466,0.0003220204,0.0005072213,0.00001451348,0.00001390464,0.00002352233,0.0001081044,0.0001051782,0.0003939014,0.9971802,0.001295897],"study_design_scores_gemma":[0.0000618605,0.000006197986,0.001535532,0.0001775045,0.0000134878,0.00003232209,0.00006531914,0.0001228731,0.0001704278,0.0007441543,0.997053,0.00001717247],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003086071,0.00002299589,0.00004694428,0.0000321136,0.00001064818,0.000004752888,0.9988427,0.0003631552,0.0006458247],"genre_scores_gemma":[0.0001388723,0.00003193317,0.0001994805,0.0000419218,0.000003120688,0.00004137768,0.9989141,0.0001748077,0.0004544143],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8236967,"threshold_uncertainty_score":0.5897933,"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."}}