{"id":"W7083304091","doi":"10.15468/dl.u2xn9u","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":"Download; Matching (statistics); Range (aeronautics); Ringing; Natural history; Historical record","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":[0.0009880645,0.002123699,0.001641711,0.005413453,0.0009774016,0.002764623,0.002834578,0.002005973,0.1882679],"category_scores_gemma":[0.006461456,0.0009800975,0.001386029,0.00996252,0.0003942767,0.002665205,0.002691434,0.001858675,0.2489191],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001753005,"about_ca_system_score_gemma":0.002187013,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02000293,"about_ca_topic_score_gemma":0.03271591,"domain_scores_codex":[0.9988534,0.0001418975,0.0001539745,0.0004139044,0.0002618944,0.0001749458],"domain_scores_gemma":[0.9975889,0.0006938137,0.0002050446,0.0006129345,0.0006312785,0.0002681768],"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":[0.00003202426,0.00001092783,0.0003448878,0.0004647789,0.00001408814,0.00001380844,0.00001910749,0.0001335562,0.00008504718,0.0003313333,0.9968907,0.001659634],"study_design_scores_gemma":[0.00008797927,0.000009766361,0.001809546,0.0001768722,0.00001378784,0.00003842148,0.0000690334,0.0002537775,0.0001765201,0.0009151953,0.9964312,0.00001787893],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004035944,0.00002487635,0.0000558776,0.00003721733,0.00001173538,0.000006195421,0.9986088,0.0005628617,0.0006521472],"genre_scores_gemma":[0.0001625211,0.00003201268,0.0002426525,0.00004780208,0.000003966004,0.00004669381,0.9987822,0.0001991928,0.0004828977],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8117321,"threshold_uncertainty_score":0.6298188,"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."}}