{"id":"W6943510922","doi":"10.15468/dl.tf3je2","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); Order (exchange); State (computer science)","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":[0.001149768,0.001993484,0.001700257,0.005236355,0.001068069,0.002746448,0.002958328,0.002041264,0.1791124],"category_scores_gemma":[0.006592632,0.000979787,0.001162547,0.01022127,0.0004665851,0.002398345,0.002648506,0.002090436,0.2393849],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001679107,"about_ca_system_score_gemma":0.00249614,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02315181,"about_ca_topic_score_gemma":0.03716086,"domain_scores_codex":[0.9988826,0.0001484956,0.0001404465,0.0003893597,0.0002556217,0.0001835013],"domain_scores_gemma":[0.997303,0.0007858913,0.0002534778,0.0006928393,0.0006586117,0.0003061643],"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":[0.00002697691,0.000009917118,0.0003326967,0.0005020375,0.00001463768,0.00001385163,0.00002352596,0.0001102759,0.0001095765,0.0003824174,0.9971467,0.00132741],"study_design_scores_gemma":[0.00006513087,0.000006786657,0.00167335,0.0001861952,0.00001407827,0.00003465193,0.00006809916,0.000127276,0.0001778309,0.0007658544,0.9968632,0.00001751802],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003357681,0.00002381972,0.00004551993,0.00003249711,0.00001080861,0.000004614485,0.9988419,0.0003713765,0.0006358225],"genre_scores_gemma":[0.0001440609,0.00003079413,0.0001953048,0.00004158724,0.000003167481,0.00004007374,0.9989105,0.0001743944,0.0004600297],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8208876,"threshold_uncertainty_score":0.5991907,"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."}}