{"id":"W7106815343","doi":"10.15468/dl.3t2y9m","title":"Occurrence Download","year":2025,"lang":"","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); Polygon (computer graphics); Data file","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":[0.0009337977,0.0017308,0.00165173,0.005325601,0.001070289,0.002837532,0.002703749,0.001970137,0.2029766],"category_scores_gemma":[0.006766603,0.0009358748,0.001194365,0.01012734,0.0003924303,0.002488031,0.002661118,0.001874474,0.2559434],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001715884,"about_ca_system_score_gemma":0.00257648,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02166069,"about_ca_topic_score_gemma":0.03502215,"domain_scores_codex":[0.9988691,0.0001369703,0.0001513056,0.000397987,0.0002566185,0.0001879682],"domain_scores_gemma":[0.9973862,0.000728511,0.000245619,0.0006532374,0.0007143849,0.000272139],"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":[0.000031343,0.000009973564,0.0004522684,0.0006602527,0.00001616258,0.00001624145,0.00002485567,0.0001165272,0.000116248,0.0004376574,0.9961404,0.001978021],"study_design_scores_gemma":[0.00005544152,0.000007052807,0.001635275,0.0002035119,0.0000137452,0.00003408904,0.00006949714,0.000130144,0.0001612035,0.0006670854,0.9970077,0.00001536277],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003870796,0.00003049227,0.00005025566,0.00003525085,0.00001134732,0.000004606494,0.9986778,0.0004316425,0.0007198169],"genre_scores_gemma":[0.000171801,0.00004277321,0.0002355519,0.00004858229,0.000003719855,0.00004026353,0.9986652,0.0001853853,0.00060667],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2029766,"threshold_uncertainty_score":0.6790245,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01434536157882973,"score_gpt":0.2311093459842124,"score_spread":0.2167639844053826,"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."}}