{"id":"W6962360157","doi":"10.15468/dl.vq82dh","title":"Occurrence Download","year":2022,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Environmental Sustainability in Business","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Matching (statistics); Download; Range (aeronautics); Data set; Set (abstract data type)","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":[0.0009026307,0.002005314,0.001483053,0.005082949,0.0008901348,0.002514819,0.002560345,0.001880133,0.1460764],"category_scores_gemma":[0.005368926,0.0008661308,0.001075312,0.01008595,0.0004288022,0.002109309,0.002388504,0.001834613,0.2152081],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001591593,"about_ca_system_score_gemma":0.002291513,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02285477,"about_ca_topic_score_gemma":0.03849994,"domain_scores_codex":[0.9989923,0.0001361925,0.0001311861,0.0003448605,0.000226167,0.0001692374],"domain_scores_gemma":[0.9977316,0.0006026181,0.0002440032,0.000567392,0.000585505,0.000268826],"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":[0.00003151289,0.00001099795,0.0004097653,0.0005084252,0.00001384048,0.00001534965,0.00002174052,0.0001275266,0.0001054909,0.0004094241,0.9969352,0.001410717],"study_design_scores_gemma":[0.00006665231,0.000007466523,0.00182751,0.0001644511,0.00001237628,0.00003263222,0.00005804366,0.0001367551,0.0001632603,0.0007500874,0.9967641,0.0000167315],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003923207,0.00002405375,0.00003541511,0.0000295662,0.000009411871,0.000004539978,0.9989107,0.0003044894,0.0006426853],"genre_scores_gemma":[0.0001521748,0.00003370732,0.0001716393,0.00004267186,0.000003262543,0.00003728542,0.9989219,0.0001247023,0.0005127232],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8539236,"threshold_uncertainty_score":0.4886744,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01037237968693738,"score_gpt":0.1934707832699691,"score_spread":0.1830984035830318,"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."}}