{"id":"W6943256231","doi":"10.15468/dl.ugchnt","title":"Occurrence Download","year":2025,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Military, Security, and Education Studies","field":"Social Sciences","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":[0.0008288599,0.001707285,0.00136093,0.004706458,0.0009450985,0.002373599,0.002588072,0.001802542,0.1208799],"category_scores_gemma":[0.00549243,0.0007851719,0.001164659,0.008976971,0.0004379817,0.002016455,0.002212342,0.001917565,0.1846399],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001467902,"about_ca_system_score_gemma":0.002314187,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02143409,"about_ca_topic_score_gemma":0.03847667,"domain_scores_codex":[0.9990543,0.0001317678,0.0001294903,0.0003321575,0.0002066731,0.0001457835],"domain_scores_gemma":[0.997943,0.0005686823,0.0001777502,0.0005523927,0.0005370447,0.0002211779],"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":[0.00002938497,0.00001230157,0.0004936648,0.0005795832,0.0000166231,0.00001813661,0.00002639594,0.0001504247,0.0001183007,0.0004206139,0.9963398,0.001794948],"study_design_scores_gemma":[0.00006245598,0.000007738317,0.001851898,0.0001752076,0.00001404503,0.00004078746,0.00008042122,0.0001747545,0.0001791023,0.0007089626,0.9966894,0.00001516971],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005763166,0.00003738565,0.00005396004,0.00003976313,0.00001406295,0.000006161399,0.9986762,0.0004209811,0.0006937983],"genre_scores_gemma":[0.0001799789,0.00004178639,0.0002169159,0.00004313524,0.000003650707,0.00003771246,0.9988527,0.0001237776,0.0005003363],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8791201,"threshold_uncertainty_score":0.4043834,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02364213323484043,"score_gpt":0.2806654441191174,"score_spread":0.2570233108842769,"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."}}