{"id":"W6943731694","doi":"10.15468/dl.nvergc","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":"Download; Matching (statistics); Range (aeronautics); Information system; Confidentiality","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":[0.0009652725,0.001923713,0.001623765,0.00558425,0.0009422779,0.002446374,0.002731733,0.001983211,0.1758771],"category_scores_gemma":[0.005937913,0.0008947051,0.001184189,0.01044173,0.0004310495,0.002251991,0.002599829,0.001926318,0.2363064],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001549299,"about_ca_system_score_gemma":0.002342853,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02032045,"about_ca_topic_score_gemma":0.03517522,"domain_scores_codex":[0.998916,0.000137452,0.000144583,0.0003688934,0.0002467319,0.0001863027],"domain_scores_gemma":[0.9973215,0.000697619,0.0002545052,0.0007112729,0.0006873063,0.0003276953],"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":[0.00002742193,0.00001009717,0.0003434513,0.0005225396,0.00001483087,0.00001376138,0.00001919449,0.000113218,0.000123903,0.0003251428,0.9970777,0.001408685],"study_design_scores_gemma":[0.00006961002,0.000008468905,0.001951686,0.0001806983,0.00001508198,0.00003384849,0.00006300087,0.0001317828,0.0001941765,0.0006463987,0.9966879,0.00001737589],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003416461,0.0000223795,0.00003482197,0.0000283377,0.00001039575,0.000004818867,0.9990208,0.0003049892,0.0005393011],"genre_scores_gemma":[0.0001360152,0.00002881481,0.0001616917,0.00003638645,0.000003245948,0.00003537991,0.999029,0.0001164364,0.0004529451],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8241229,"threshold_uncertainty_score":0.5883675,"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."}}