{"id":"W6924617176","doi":"10.15468/dl.ynqy3q","title":"Occurrence Download","year":2022,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"German History and Society","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); State (computer science); 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":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002144638,0.0002184628,0.0002161091,0.00004935411,0.001349762,0.0001914801,0.0004660656,0.0001260023,0.3718904],"category_scores_gemma":[0.00003061986,0.0002348213,0.0002154114,0.00005652355,0.0003385636,0.0008626284,0.0002962262,0.0003725656,0.1185102],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004639773,"about_ca_system_score_gemma":0.0001110098,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007628788,"about_ca_topic_score_gemma":0.00007177433,"domain_scores_codex":[0.998814,0.00006903597,0.0002897328,0.0001668603,0.0004386858,0.0002216253],"domain_scores_gemma":[0.9991394,0.00001310781,0.0002437206,0.000360811,0.0001494487,0.00009351279],"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":[0.00001904667,0.00003495601,0.00003223237,0.0001164216,0.00002782673,0.00000160494,0.003407651,0.000002733002,1.404978e-9,0.000005689297,0.9961839,0.0001678968],"study_design_scores_gemma":[0.0001738111,0.00003118385,0.000003869126,5.877457e-7,0.000045564,0.000001305113,0.002602923,1.810448e-8,4.450129e-8,0.000001361768,0.9968867,0.0002526502],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001981721,0.00002434944,1.165297e-7,0.00007911873,0.001764756,0.000192464,0.9955746,0.00009163128,0.002074816],"genre_scores_gemma":[0.000010107,0.00002788113,8.813162e-8,0.0009459122,0.000004085184,0.000006100105,0.9990024,1.064008e-8,0.000003437211],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2533802,"threshold_uncertainty_score":0.9999503,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02313011135168649,"score_gpt":0.1959492301247324,"score_spread":0.1728191187730459,"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."}}