{"id":"W6943343351","doi":"10.15468/dl.qjefdn","title":"Occurrence Download","year":2021,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Extant taxon; Download; Natural history; Matching (statistics); Field (mathematics); Natural (archaeology)","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":[0.001112593,0.002165446,0.001886518,0.006320687,0.001128206,0.003230153,0.002940575,0.002092983,0.2287769],"category_scores_gemma":[0.007937307,0.001155792,0.001444507,0.01187213,0.000458602,0.002958531,0.003118915,0.002059585,0.3064036],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001692742,"about_ca_system_score_gemma":0.002478585,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02102314,"about_ca_topic_score_gemma":0.03283825,"domain_scores_codex":[0.998799,0.0001474895,0.0001655663,0.0004394838,0.0002536192,0.0001948732],"domain_scores_gemma":[0.9969507,0.0008899526,0.0002578808,0.0007774906,0.0008039618,0.0003198693],"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":[0.00002987753,0.000008741359,0.0003339744,0.000622756,0.00001466222,0.00001434385,0.00002362665,0.00009331803,0.00009473696,0.0003300272,0.9968188,0.001615096],"study_design_scores_gemma":[0.00007322174,0.000007767525,0.00151632,0.0002188133,0.00001446257,0.00003614718,0.00007304355,0.0001281014,0.0001583414,0.0007657519,0.9969903,0.00001766436],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002850418,0.00002439589,0.00004523734,0.00003042701,0.00001152737,0.000005586617,0.9987801,0.0004680874,0.000606118],"genre_scores_gemma":[0.0001361917,0.00003888227,0.0002405858,0.00004876367,0.000004288468,0.0000552559,0.9986877,0.0002538925,0.0005344399],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7712231,"threshold_uncertainty_score":0.7653351,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01878725496536469,"score_gpt":0.2292776369319846,"score_spread":0.2104903819666199,"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."}}