{"id":"W6962402646","doi":"10.15468/dl.wfmvzw","title":"Occurrence Download","year":2017,"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); Confidentiality; Information privacy","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":[0.0009632302,0.001983557,0.001619387,0.004822354,0.0009993132,0.00269286,0.002946563,0.002033486,0.1303864],"category_scores_gemma":[0.006061152,0.0008574153,0.001267793,0.009712865,0.0004535379,0.002270946,0.002611297,0.002039113,0.197096],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001599602,"about_ca_system_score_gemma":0.002470625,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02452877,"about_ca_topic_score_gemma":0.03940658,"domain_scores_codex":[0.9989746,0.0001373984,0.0001262231,0.0003525945,0.0002334704,0.0001757242],"domain_scores_gemma":[0.9976381,0.0006713271,0.000216115,0.0006242145,0.0005742746,0.0002759807],"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":[0.00002838373,0.00001155459,0.0004252314,0.0005065373,0.00001576594,0.00001649427,0.00002481885,0.0001333755,0.0001069737,0.0003982532,0.9969715,0.001361081],"study_design_scores_gemma":[0.00007579825,0.0000090634,0.002042839,0.0002020708,0.00001645472,0.00004404691,0.0000843322,0.0002070495,0.0001993311,0.0008567004,0.996244,0.00001844819],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005424007,0.00003450943,0.00005116619,0.00004320076,0.000014143,0.000005575294,0.9986854,0.0004822768,0.0006294072],"genre_scores_gemma":[0.0001644154,0.0000351077,0.0001806951,0.00004159718,0.000003366139,0.00003653876,0.9990082,0.0001378063,0.0003922797],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8696136,"threshold_uncertainty_score":0.4361859,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02387106755018206,"score_gpt":0.2528130017232275,"score_spread":0.2289419341730454,"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."}}