{"id":"W7108082868","doi":"10.15468/dl.dcw6c3","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":"Troglodytes; Download; Matching (statistics); Range (aeronautics); Collectable","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":[0.0009156976,0.001777463,0.001653049,0.005381838,0.001098032,0.002832568,0.002774861,0.002036354,0.2040115],"category_scores_gemma":[0.00672613,0.0009346945,0.001182672,0.0100607,0.0003968963,0.002598725,0.002710669,0.001948935,0.2654986],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001716338,"about_ca_system_score_gemma":0.002498128,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02182025,"about_ca_topic_score_gemma":0.03360179,"domain_scores_codex":[0.9988568,0.0001355197,0.0001533269,0.0004096761,0.0002538052,0.0001908486],"domain_scores_gemma":[0.9974217,0.0006979779,0.0002397491,0.0006479378,0.0007195406,0.0002730657],"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":[0.00003117408,0.000009801478,0.0004201108,0.000598169,0.00001386674,0.00001564377,0.00002351154,0.0001022669,0.0001077955,0.0003930404,0.996429,0.001855557],"study_design_scores_gemma":[0.00005677099,0.000007169859,0.001637165,0.0001993196,0.00001294194,0.00003522175,0.00007463843,0.0001285405,0.0001608337,0.0006539884,0.997018,0.0000154115],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000369172,0.00002860032,0.00004764564,0.00003610234,0.00001194837,0.000004714832,0.9987343,0.0004156189,0.0006841786],"genre_scores_gemma":[0.0001656261,0.00004069028,0.0002219286,0.00004974103,0.000004014248,0.00004067166,0.9986835,0.0001776092,0.0006162049],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7959886,"threshold_uncertainty_score":0.6824864,"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."}}