{"id":"W7081988169","doi":"10.15468/dl.e63u4n","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); 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":[0.0008286352,0.002039451,0.001440677,0.004698098,0.0008966108,0.00230054,0.002752039,0.001978319,0.1227416],"category_scores_gemma":[0.00508381,0.0008350175,0.00113014,0.008877751,0.0004269299,0.002220452,0.002343797,0.001895624,0.1843225],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001659573,"about_ca_system_score_gemma":0.002202852,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02220805,"about_ca_topic_score_gemma":0.03804864,"domain_scores_codex":[0.9990366,0.000128771,0.000124357,0.0003336403,0.0002175468,0.0001591937],"domain_scores_gemma":[0.9980044,0.0004990749,0.0001869695,0.0005515306,0.0005093849,0.0002485104],"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":[0.00003122413,0.00001191334,0.0003330311,0.0004581792,0.00001417789,0.0000153801,0.00001884976,0.0001407865,0.0001092838,0.0003811346,0.9970983,0.00138768],"study_design_scores_gemma":[0.00007662018,0.000008504719,0.001779242,0.000152168,0.00001267023,0.00003918335,0.00005713086,0.0001947183,0.0002073479,0.0007987563,0.9966575,0.00001611205],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005148315,0.00002922994,0.00004417329,0.00003852355,0.0000112544,0.000005963189,0.9986774,0.0004591018,0.0006827706],"genre_scores_gemma":[0.0001724028,0.00003076748,0.000170409,0.00004462205,0.000002976789,0.00003279285,0.9990203,0.0001233368,0.0004023844],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8772584,"threshold_uncertainty_score":0.4106116,"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."}}