{"id":"W7077285153","doi":"10.15468/dl.5mnta4","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":"Geodetic datum; Coordinate system; Matching (statistics); Download; Range (aeronautics); Geographic coordinate conversion","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":[0.0008325822,0.001855674,0.001455956,0.004420031,0.0009951825,0.002705171,0.002675127,0.001854546,0.1528917],"category_scores_gemma":[0.005491307,0.0008297919,0.001291566,0.00818647,0.0003938603,0.002350834,0.002526713,0.001861956,0.236895],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001515603,"about_ca_system_score_gemma":0.002299687,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02102019,"about_ca_topic_score_gemma":0.0345406,"domain_scores_codex":[0.9990137,0.0001190472,0.0001216926,0.0003558912,0.0002202115,0.0001694316],"domain_scores_gemma":[0.9979746,0.0005087735,0.0001567568,0.0005837152,0.0005504444,0.000225625],"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":[0.00002827089,0.00001053872,0.0004184189,0.0004231557,0.00001362322,0.00001621404,0.00002335034,0.0001311036,0.0001117987,0.0003877357,0.9965964,0.001839295],"study_design_scores_gemma":[0.00005460854,0.00000693268,0.001649724,0.0001405407,0.00001156322,0.00003449137,0.00007255944,0.0002158298,0.0001978308,0.0008518304,0.9967483,0.00001573407],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005717513,0.00003199874,0.00007241524,0.00004685518,0.00001730137,0.000007075214,0.9980247,0.0008253176,0.0009171923],"genre_scores_gemma":[0.0002008554,0.00003642831,0.0002708446,0.00005221877,0.000004477962,0.00004380294,0.9985657,0.0002215461,0.000604068],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8471082,"threshold_uncertainty_score":0.5114738,"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."}}