{"id":"W6924282293","doi":"10.15468/dl.ngqpqj","title":"Occurrence Download","year":2023,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Spatial and Cultural Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Set (abstract data type); Identification (biology)","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000333383,0.0001796692,0.0002103888,0.0000383973,0.001291499,0.0001787561,0.0004758312,0.0002851746,0.0008504203],"category_scores_gemma":[0.000416178,0.0001649035,0.0001322263,0.0004816962,0.0003860512,0.0007081449,0.0002711302,0.0001743891,0.572723],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003636163,"about_ca_system_score_gemma":0.0001467812,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03912883,"about_ca_topic_score_gemma":0.003873186,"domain_scores_codex":[0.9985293,0.00008603727,0.0002397994,0.0001598796,0.0006594973,0.0003255416],"domain_scores_gemma":[0.9991745,0.00002678878,0.0001862084,0.0001800112,0.0002898954,0.0001425576],"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":[0.00001220915,0.00001042435,0.0005004978,0.00003568917,0.00002456635,0.000001098303,0.0005851515,9.594868e-7,2.871885e-9,5.595177e-7,0.9970771,0.001751719],"study_design_scores_gemma":[0.0001073264,0.00001298793,0.0002051103,0.000002070871,0.00003006979,1.58544e-7,0.003073985,6.479782e-9,1.202109e-7,0.00000290684,0.9963663,0.0001990033],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001649408,0.00002056825,2.783832e-7,0.0008258812,0.001152458,0.0002617064,0.9966812,0.0002003081,0.0006927336],"genre_scores_gemma":[0.000006099256,0.0004641234,2.052127e-7,0.0003062013,0.000005801864,0.000004683033,0.9992114,6.353985e-9,0.000001473214],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5718726,"threshold_uncertainty_score":0.9933298,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03075085160267738,"score_gpt":0.2620124638896899,"score_spread":0.2312616122870125,"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."}}