{"id":"W7082151062","doi":"10.15468/dl.zu647e","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); Adonis; Data set","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":[0.0008781663,0.002120469,0.001528744,0.004998484,0.0009587844,0.002443491,0.002934885,0.002116677,0.1323327],"category_scores_gemma":[0.005293326,0.0008784131,0.001169491,0.009227169,0.0004531972,0.002404727,0.002580316,0.002007882,0.1960605],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00169852,"about_ca_system_score_gemma":0.002295886,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02228699,"about_ca_topic_score_gemma":0.03828201,"domain_scores_codex":[0.9989787,0.0001307307,0.0001275889,0.0003489146,0.0002403428,0.0001737666],"domain_scores_gemma":[0.9978673,0.0005289264,0.0001985253,0.0005945127,0.0005405924,0.0002700358],"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":[0.00003098426,0.00001164018,0.0003051811,0.000459945,0.0000135817,0.00001568591,0.00001988918,0.0001235904,0.0001148871,0.0004064115,0.9972004,0.001297935],"study_design_scores_gemma":[0.00007245322,0.000007471055,0.001561485,0.0001462001,0.00001172131,0.00003862186,0.00005418279,0.0001684972,0.0002010884,0.000796331,0.9969259,0.00001613254],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004853363,0.00002920304,0.00004655871,0.00003933508,0.00001169521,0.000006095338,0.9985561,0.0005120535,0.0007503557],"genre_scores_gemma":[0.0001658235,0.00003145238,0.0001787933,0.00004726202,0.000003148025,0.00003339418,0.9989707,0.0001496067,0.0004198005],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8676673,"threshold_uncertainty_score":0.442697,"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."}}