{"id":"W7080121575","doi":"10.15468/dl.rqspjv","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); Confidentiality; Column (typography)","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":[0.0009262851,0.002097096,0.001571946,0.005306383,0.0009446078,0.00243498,0.002864052,0.002054669,0.1191907],"category_scores_gemma":[0.005433405,0.0008858855,0.001178798,0.009661165,0.0004539568,0.002233561,0.00251536,0.001989711,0.175857],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001737308,"about_ca_system_score_gemma":0.002347554,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02358287,"about_ca_topic_score_gemma":0.03826125,"domain_scores_codex":[0.9989298,0.0001377276,0.0001418277,0.0003540264,0.0002540335,0.0001826276],"domain_scores_gemma":[0.9978234,0.0005518008,0.0002067652,0.0005923479,0.0005558504,0.0002698679],"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":[0.00003487689,0.00001280101,0.0003708981,0.0005386361,0.00001642171,0.00001806749,0.00002276083,0.0001448002,0.0001336514,0.0004272339,0.9968666,0.001413243],"study_design_scores_gemma":[0.00007798171,0.000008237928,0.001821499,0.0001701097,0.00001387023,0.00004280219,0.00006182448,0.0001840683,0.0002225922,0.0007801125,0.9966,0.00001696262],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005107828,0.00003109868,0.00004489199,0.00003632792,0.00001088685,0.000006126561,0.9986738,0.0004852677,0.0006606072],"genre_scores_gemma":[0.000170853,0.00003281285,0.0001705593,0.00004257625,0.000002889276,0.0000334561,0.9990475,0.0001347309,0.0003646521],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8808094,"threshold_uncertainty_score":0.3987325,"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."}}