{"id":"W7083621384","doi":"10.15468/dl.2fsr48","title":"Occurrence Download","year":2025,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"SARS-CoV-2 and COVID-19 Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Data set; Set (abstract data type)","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":[0.001016627,0.001859515,0.001433808,0.004362521,0.0008186314,0.002361452,0.002558878,0.001971807,0.1325143],"category_scores_gemma":[0.006165155,0.0007848111,0.001088138,0.007812425,0.0004283081,0.001962593,0.002252796,0.001754924,0.1848107],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001625656,"about_ca_system_score_gemma":0.002377664,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01932086,"about_ca_topic_score_gemma":0.03302298,"domain_scores_codex":[0.9989731,0.0001621827,0.0001457353,0.0003474992,0.0002081647,0.0001632911],"domain_scores_gemma":[0.9976688,0.0006502918,0.000251506,0.0005883167,0.0005514578,0.0002895096],"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":[0.00003877666,0.00001104279,0.0004256207,0.000529809,0.00001725736,0.00001618304,0.00001902983,0.0001309446,0.0001005251,0.0003631951,0.9969434,0.001404287],"study_design_scores_gemma":[0.00009763155,0.00001038313,0.002021053,0.0002088529,0.00001685472,0.00004778523,0.00006072531,0.0001750702,0.0001942048,0.0008387509,0.9963117,0.0000169981],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004145707,0.00003270373,0.00003783773,0.00004087295,0.00001065252,0.00000599278,0.998914,0.0003282166,0.0005883444],"genre_scores_gemma":[0.0001848492,0.00003726711,0.0001618759,0.0000562847,0.000003880109,0.00003631948,0.9990133,0.0001043371,0.0004018985],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8674858,"threshold_uncertainty_score":0.4433044,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02684678562539873,"score_gpt":0.2973036392970207,"score_spread":0.270456853671622,"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."}}