{"id":"W6943843168","doi":"10.15468/dl.yunru7","title":"Occurrence Download","year":2022,"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); Data set; Reference data","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":[0.001001371,0.001911206,0.00163877,0.005002346,0.0009552881,0.002575068,0.002777357,0.002071258,0.1638293],"category_scores_gemma":[0.005978862,0.000899207,0.001138927,0.009596033,0.0004417024,0.002263941,0.00253091,0.001935833,0.2167959],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001444622,"about_ca_system_score_gemma":0.002225123,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01846271,"about_ca_topic_score_gemma":0.03133936,"domain_scores_codex":[0.9989807,0.0001398953,0.0001338082,0.000358393,0.0002192134,0.0001679106],"domain_scores_gemma":[0.9975441,0.0007259757,0.0002391688,0.0006244801,0.0005772953,0.0002889078],"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":[0.00003175675,0.00001204525,0.0004001653,0.0006221645,0.00001659169,0.0000161653,0.00002429271,0.0001250204,0.0001294719,0.0003711875,0.9968184,0.001432787],"study_design_scores_gemma":[0.00008177753,0.000008938145,0.002039618,0.0002082602,0.00001608159,0.00003897712,0.00007276441,0.0001455794,0.0001916462,0.0007639785,0.9964136,0.00001876943],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004032438,0.00002670848,0.00004175335,0.00003182006,0.00001109758,0.000005123952,0.9989361,0.0003338556,0.0005731501],"genre_scores_gemma":[0.0001655403,0.00003253855,0.000187612,0.00004448388,0.000003639628,0.00004404347,0.9989327,0.0001387089,0.0004508366],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8361707,"threshold_uncertainty_score":0.5480635,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01850871640220096,"score_gpt":0.2277224731265546,"score_spread":0.2092137567243537,"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."}}