{"id":"W7080574153","doi":"10.15468/dl.cv6aej","title":"Occurrence Download","year":2025,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Imperata; Ixodes scapularis; Download; Range (aeronautics); Spamming; Kudzu; Amaranthus hypochondriacus","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":[],"consensus_categories":[],"category_scores_codex":[0.0008194303,0.002101271,0.00155374,0.004791591,0.0009755354,0.002628646,0.002689799,0.002166191,0.1320443],"category_scores_gemma":[0.005554082,0.0008413694,0.001312951,0.009255014,0.0004063863,0.002278047,0.002425325,0.001963298,0.2028303],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00172392,"about_ca_system_score_gemma":0.002246498,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02102876,"about_ca_topic_score_gemma":0.03397324,"domain_scores_codex":[0.9989347,0.0001293426,0.0001408742,0.0003843582,0.0002310433,0.0001797508],"domain_scores_gemma":[0.9979898,0.0005340078,0.0001769459,0.0005146004,0.0005480348,0.0002365651],"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":[0.00003280282,0.00001280903,0.0004726411,0.0005535532,0.00001582205,0.00001666099,0.00002162915,0.0001627056,0.0001017997,0.0003764509,0.9964244,0.001808839],"study_design_scores_gemma":[0.00008005094,0.000009846382,0.001953556,0.0001975427,0.00001404147,0.00004266742,0.0000759496,0.0002819137,0.0001821045,0.0008277821,0.9963177,0.00001686458],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005131479,0.00003558402,0.00004491871,0.00004487547,0.00001347343,0.000005637253,0.9987557,0.0004518969,0.0005966385],"genre_scores_gemma":[0.0001729019,0.00003886485,0.0001969103,0.00005045974,0.000003598621,0.00003783335,0.9989497,0.0001138216,0.0004357845],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1320443,"threshold_uncertainty_score":0.4417322,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0116959082794947,"score_gpt":0.2070852442648293,"score_spread":0.1953893359853346,"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."}}