{"id":"W7106573712","doi":"10.15468/dl.5r8v4u","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":"Download; Matching (statistics); Range (aeronautics); Order (exchange); Data set","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":[0.0009088555,0.001569127,0.001324209,0.005025268,0.0008392775,0.002360677,0.002349152,0.001694588,0.1672492],"category_scores_gemma":[0.005833989,0.0007587756,0.000999208,0.009634621,0.0003788587,0.002193297,0.002339798,0.001681267,0.1981277],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001522564,"about_ca_system_score_gemma":0.0022885,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02131638,"about_ca_topic_score_gemma":0.03362279,"domain_scores_codex":[0.9990441,0.0001206413,0.0001308421,0.0003206143,0.0002172954,0.0001663899],"domain_scores_gemma":[0.9975931,0.0006471468,0.0002587803,0.0005909621,0.0006252301,0.0002847749],"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":[0.00002579421,0.000009481968,0.000385395,0.0004377904,0.00001294268,0.00001209467,0.00001803471,0.00009843062,0.00009395398,0.0003725722,0.9972302,0.001303221],"study_design_scores_gemma":[0.00006404991,0.000007287869,0.002213165,0.0001766459,0.00001343239,0.0000324084,0.00006278251,0.0001284333,0.0001652504,0.0007059897,0.9964155,0.0000149276],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003710705,0.00001945571,0.00003184528,0.00003031297,0.00001053599,0.000004259063,0.9990158,0.0002537439,0.0005969737],"genre_scores_gemma":[0.0001682936,0.00002783862,0.0001576534,0.00004443985,0.000003786573,0.00003286961,0.9989857,0.0001043352,0.0004750179],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8327509,"threshold_uncertainty_score":0.5595042,"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."}}