{"id":"W6924982977","doi":"10.15468/dl.xhwgxd","title":"Occurrence Download","year":2024,"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); 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":[0.001075499,0.002154607,0.001715157,0.005403731,0.001065432,0.00259607,0.00316132,0.002191409,0.1567381],"category_scores_gemma":[0.006234171,0.001019896,0.001262096,0.01067988,0.0004928765,0.002436099,0.002774182,0.00213596,0.215276],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001736047,"about_ca_system_score_gemma":0.002525737,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02478265,"about_ca_topic_score_gemma":0.03702938,"domain_scores_codex":[0.9988672,0.0001511272,0.0001438453,0.0003900446,0.0002574087,0.0001904255],"domain_scores_gemma":[0.9975699,0.0006925166,0.0002250948,0.0006488423,0.0005927274,0.0002709411],"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":[0.00003091746,0.00001188363,0.0003746474,0.0006087536,0.00001738925,0.00001627319,0.00002831456,0.0001414612,0.000133832,0.0004455375,0.9966376,0.001553421],"study_design_scores_gemma":[0.00007244281,0.000007226026,0.001612791,0.0001807055,0.00001508485,0.00003482795,0.00007365228,0.0001378376,0.0001942277,0.0007521468,0.9969014,0.00001764939],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004050538,0.00002810527,0.00004849297,0.0000336568,0.0000120189,0.000005021718,0.9988163,0.0004088471,0.0006071238],"genre_scores_gemma":[0.0001442319,0.00003194748,0.0001872105,0.00003752841,0.000002845192,0.0000367527,0.9990203,0.0001495549,0.0003896103],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8432619,"threshold_uncertainty_score":0.5243411,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01708767307206114,"score_gpt":0.2335971948231368,"score_spread":0.2165095217510757,"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."}}