{"id":"W6943292696","doi":"10.15468/dl.stq2qh","title":"Occurrence Download","year":2023,"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; Set (abstract data type)","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":[0.0009495775,0.001878998,0.001584678,0.005082966,0.0009069295,0.002384782,0.002637825,0.001953101,0.161231],"category_scores_gemma":[0.006205325,0.0008709515,0.001198452,0.01002664,0.0004342179,0.002177584,0.002484326,0.001842048,0.2242616],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001493538,"about_ca_system_score_gemma":0.00226274,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02155168,"about_ca_topic_score_gemma":0.03533982,"domain_scores_codex":[0.9989693,0.0001367673,0.000136553,0.0003561291,0.0002298583,0.0001713187],"domain_scores_gemma":[0.9974374,0.0007319078,0.0002437217,0.0006425501,0.0006570914,0.0002873349],"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":[0.00002927945,0.00001013496,0.0003881674,0.0005831299,0.00001599322,0.00001459063,0.00002219953,0.0001258605,0.0001222011,0.0003458852,0.9968812,0.00146141],"study_design_scores_gemma":[0.00007363549,0.000008911182,0.002029405,0.0002050792,0.00001554476,0.0000353185,0.00007303953,0.0001405347,0.0001911836,0.0007603336,0.996449,0.00001800574],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003629601,0.00002433905,0.00003817427,0.00002961377,0.00001035031,0.000004733063,0.9990141,0.000310316,0.0005320128],"genre_scores_gemma":[0.0001577533,0.00003146235,0.0001742726,0.0000407122,0.000003484503,0.00003847377,0.9990034,0.0001291342,0.0004214746],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8387691,"threshold_uncertainty_score":0.5393713,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02365312271414112,"score_gpt":0.2392044605254057,"score_spread":0.2155513378112646,"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."}}