{"id":"W7081922365","doi":"10.15468/dl.exptqn","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 access","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":[],"consensus_categories":[],"category_scores_codex":[0.0009373114,0.002088069,0.001533937,0.005036472,0.0009679197,0.002458675,0.002856719,0.002001171,0.1312658],"category_scores_gemma":[0.005489527,0.0008852594,0.001138,0.009601836,0.0004490435,0.002260781,0.00246793,0.001966154,0.194896],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001744553,"about_ca_system_score_gemma":0.002380411,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02285857,"about_ca_topic_score_gemma":0.03788915,"domain_scores_codex":[0.9989552,0.0001360938,0.0001373978,0.0003513432,0.000241727,0.0001781497],"domain_scores_gemma":[0.9977973,0.0005661921,0.0002076205,0.0005853634,0.0005743026,0.0002693775],"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":[0.0000317345,0.00001162003,0.0003380142,0.0004789904,0.00001410268,0.00001573872,0.00002024568,0.0001301973,0.0001205849,0.0004020465,0.9970474,0.001389444],"study_design_scores_gemma":[0.00007228961,0.000007605853,0.001630758,0.0001596009,0.00001259926,0.00003772663,0.00005828466,0.0001700194,0.0002189404,0.0007926332,0.9968238,0.00001590533],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004616169,0.00002824834,0.00004496598,0.00003567681,0.00001058543,0.000005739863,0.9987078,0.000447645,0.0006731903],"genre_scores_gemma":[0.0001597752,0.00003139252,0.0001717648,0.00004341444,0.000002912819,0.00003438973,0.9990233,0.0001365577,0.0003964934],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1312658,"threshold_uncertainty_score":0.4391277,"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."}}