{"id":"W6962733962","doi":"10.15468/dl.u5tngf","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); R package","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":[0.001042679,0.001897022,0.001647599,0.005436356,0.0009968356,0.002589251,0.002867888,0.002002078,0.1608961],"category_scores_gemma":[0.006417136,0.0009130351,0.001205659,0.01047332,0.0004469378,0.002211472,0.002557121,0.00194855,0.2125084],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0015738,"about_ca_system_score_gemma":0.002476334,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02213525,"about_ca_topic_score_gemma":0.0356472,"domain_scores_codex":[0.99889,0.0001458989,0.0001498279,0.0003889905,0.0002426368,0.0001827088],"domain_scores_gemma":[0.997462,0.0007295774,0.0002499839,0.0006390883,0.0006240263,0.0002952666],"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":[0.00003019227,0.00001050406,0.0003787564,0.0006207125,0.00001707555,0.00001571227,0.0000244511,0.0001223633,0.0001245498,0.0004071262,0.9968238,0.001424757],"study_design_scores_gemma":[0.00007212672,0.000007682826,0.001850883,0.0002127045,0.00001649401,0.00003854731,0.00006707631,0.0001264706,0.000187206,0.0007667551,0.996636,0.00001788496],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003551883,0.00002735294,0.00003947415,0.00003065125,0.00001047772,0.000004727014,0.9989845,0.0003101403,0.0005572111],"genre_scores_gemma":[0.0001504439,0.00003387567,0.0001729834,0.00004297832,0.00000316884,0.00003777554,0.9990246,0.0001302303,0.0004039071],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8391039,"threshold_uncertainty_score":0.538251,"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."}}