{"id":"W6943367450","doi":"10.15468/dl.qmxbpe","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); Robustness (evolution); Work (physics)","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":[0.0009826622,0.001848061,0.001463598,0.004497069,0.0009835309,0.002470653,0.002807917,0.001990542,0.1537741],"category_scores_gemma":[0.005976125,0.0009141345,0.001127308,0.008947396,0.0004190864,0.002340294,0.002434228,0.001943277,0.2049538],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001682333,"about_ca_system_score_gemma":0.002453063,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02551544,"about_ca_topic_score_gemma":0.04162268,"domain_scores_codex":[0.9989769,0.0001308011,0.0001345078,0.0003542415,0.000234366,0.0001692395],"domain_scores_gemma":[0.9976718,0.0006340371,0.0002218389,0.0006144076,0.0005849857,0.0002728803],"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":[0.00002765273,0.0000106874,0.000358648,0.0004646267,0.00001338916,0.00001393489,0.00002332403,0.0001195051,0.0001093975,0.0004018069,0.9971,0.001357119],"study_design_scores_gemma":[0.0000633079,0.000007117094,0.001846098,0.0001810632,0.00001325374,0.00003392786,0.00007007192,0.0001590178,0.0001975153,0.0007351273,0.9966764,0.00001696832],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003880842,0.00002245408,0.00004889804,0.0000326699,0.00001061151,0.000005016407,0.9987919,0.0003970107,0.0006527472],"genre_scores_gemma":[0.0001600658,0.00002729695,0.0002040947,0.00004113987,0.00000281022,0.00003672095,0.998942,0.0001476487,0.0004382134],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8462259,"threshold_uncertainty_score":0.5144256,"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."}}