{"id":"W6962091410","doi":"10.15468/dl.vzr63v","title":"Occurrence Download","year":2025,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Historical Legal Studies and Society","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Setaria; Range (aeronautics); Upload","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":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004377969,0.0001874749,0.0002689771,0.00003446597,0.001812891,0.000147033,0.0005781831,0.0004492037,0.001204128],"category_scores_gemma":[0.0005112041,0.0001968901,0.0002240217,0.0005314184,0.0004344264,0.0005526202,0.0002897002,0.0003057289,0.01980196],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0014849,"about_ca_system_score_gemma":0.0004761974,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01777109,"about_ca_topic_score_gemma":0.0005494362,"domain_scores_codex":[0.9984081,0.0001224369,0.0002885796,0.0001859727,0.0006426466,0.0003522991],"domain_scores_gemma":[0.9989814,0.00004361217,0.0001810414,0.0002779684,0.000340391,0.0001756039],"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":[0.00001034251,0.00002389417,0.0002328094,0.00006564047,0.00002666523,6.013301e-7,0.0007239066,7.174502e-7,5.871324e-10,0.000003623743,0.9976787,0.001233089],"study_design_scores_gemma":[0.0001255906,0.00001108849,0.00001282444,0.000002111275,0.00003377295,5.681827e-8,0.001358654,8.758055e-9,3.141631e-8,0.000001227061,0.9982653,0.0001893681],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00001242261,0.00006623418,0.000003121488,0.0008541055,0.001210402,0.0002693489,0.9906466,0.00008493236,0.006852809],"genre_scores_gemma":[0.000003766878,0.000627915,9.739822e-7,0.0009022993,0.000004114118,0.000003525386,0.9984539,2.953385e-9,0.000003496128],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01859783,"threshold_uncertainty_score":0.9997089,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0148868769972808,"score_gpt":0.2489368819583171,"score_spread":0.2340500049610363,"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."}}