{"id":"W6886878082","doi":"10.15468/dl.5j6psn","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); Principal component analysis; Population","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":[0.0009901928,0.001885047,0.001596516,0.005284506,0.0009217418,0.00247681,0.002782997,0.001915539,0.1605926],"category_scores_gemma":[0.005739039,0.0009219346,0.001155019,0.0102213,0.0004462026,0.002194416,0.002599955,0.001876308,0.2119884],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001468973,"about_ca_system_score_gemma":0.002294005,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01997734,"about_ca_topic_score_gemma":0.03220582,"domain_scores_codex":[0.9989436,0.0001387122,0.0001402725,0.0003550453,0.0002375929,0.0001847755],"domain_scores_gemma":[0.9976266,0.0006263585,0.0002397542,0.0006394848,0.0005771708,0.0002906352],"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":[0.00003275103,0.00001139175,0.0003930589,0.0006362142,0.000017644,0.00001568188,0.00002469479,0.0001247989,0.0001472962,0.0004106159,0.9965957,0.001590162],"study_design_scores_gemma":[0.00007448658,0.000008512132,0.002007982,0.0002020797,0.00001571038,0.00003828489,0.00006795507,0.0001225572,0.0002052976,0.0007023246,0.9965373,0.00001747386],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004088192,0.00002813479,0.00004108328,0.00003112322,0.00001071022,0.000005117451,0.9988978,0.0003542563,0.0005908446],"genre_scores_gemma":[0.0001540448,0.00003361323,0.000171914,0.00004244854,0.000003147894,0.00003648024,0.9990284,0.0001300442,0.0003998379],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8394073,"threshold_uncertainty_score":0.5372359,"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."}}