{"id":"W6962418475","doi":"10.15468/dl.u8chy9","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":"Download; Matching (statistics); Range (aeronautics); State (computer science); 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":[0.0008656799,0.00191819,0.001487686,0.004591097,0.001010468,0.002510437,0.002831249,0.002013877,0.1525756],"category_scores_gemma":[0.005863412,0.0008758398,0.001257444,0.009054755,0.0004406716,0.002281107,0.002461202,0.001989703,0.2047206],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001636239,"about_ca_system_score_gemma":0.002301875,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02651978,"about_ca_topic_score_gemma":0.0424036,"domain_scores_codex":[0.9990526,0.0001232453,0.0001184792,0.000334288,0.0002192708,0.0001521233],"domain_scores_gemma":[0.9979149,0.0005959168,0.0001792359,0.0005536217,0.0005197909,0.0002366317],"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":[0.00002646789,0.00001083689,0.000385133,0.0004845246,0.00001470502,0.00001484609,0.00002411339,0.0001339825,0.00009721857,0.0003682687,0.9969676,0.00147234],"study_design_scores_gemma":[0.00007007973,0.000008061125,0.001910213,0.0001944448,0.00001497633,0.00004110932,0.00008486435,0.0001990337,0.0001813239,0.0008084264,0.9964701,0.00001742836],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004670217,0.00003160567,0.00005080111,0.00004210512,0.00001296981,0.000005506082,0.9986525,0.0004762512,0.0006814934],"genre_scores_gemma":[0.0001773097,0.00003535644,0.0002121473,0.00004574756,0.000003301759,0.00003966189,0.9988644,0.0001533726,0.0004687437],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8474244,"threshold_uncertainty_score":0.5104162,"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."}}