{"id":"W6962559977","doi":"10.15468/dl.z7tkde","title":"Occurrence Download","year":2025,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","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":[0.0008780533,0.001769333,0.001497835,0.004683365,0.001004696,0.002832445,0.002662134,0.001778618,0.1789384],"category_scores_gemma":[0.005764022,0.0008773317,0.00134097,0.008963973,0.0003997194,0.002464028,0.002668123,0.001896294,0.2582938],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001405693,"about_ca_system_score_gemma":0.002190885,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01931389,"about_ca_topic_score_gemma":0.03200722,"domain_scores_codex":[0.9989767,0.0001255258,0.0001296573,0.0003726037,0.0002203016,0.0001751888],"domain_scores_gemma":[0.9977239,0.0005898686,0.0001871949,0.0006548309,0.0006004765,0.000243729],"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":[0.00002978086,0.00001035212,0.0004796003,0.0005313675,0.00001595425,0.00001683118,0.00002775482,0.0001381378,0.0001301946,0.0004111383,0.9961124,0.002096354],"study_design_scores_gemma":[0.00005035607,0.00000696717,0.001758062,0.0001544279,0.00001282029,0.00003499308,0.00007994846,0.0001774876,0.0001790671,0.0007713319,0.9967585,0.00001593886],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005299208,0.00003034649,0.00007326456,0.0000433199,0.00001800309,0.000006270461,0.9982015,0.0006816396,0.000892609],"genre_scores_gemma":[0.0002041594,0.00003849414,0.0002916508,0.00005128684,0.000004868675,0.00004422113,0.9985194,0.0002300495,0.0006159397],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8210616,"threshold_uncertainty_score":0.5986084,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01437393559742932,"score_gpt":0.2320798631925623,"score_spread":0.217705927595133,"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."}}