{"id":"W6962058170","doi":"10.15468/dl.3aj7jv","title":"Occurrence Download","year":2023,"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); Data set","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":[0.0009529241,0.001928927,0.001527066,0.004874046,0.0009320581,0.00248456,0.002716198,0.002023849,0.1602131],"category_scores_gemma":[0.005633803,0.0008864639,0.001126255,0.009853084,0.0004418309,0.002279652,0.00253746,0.00197215,0.2151528],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001602122,"about_ca_system_score_gemma":0.00215419,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0219579,"about_ca_topic_score_gemma":0.03476799,"domain_scores_codex":[0.9990563,0.0001258705,0.0001240351,0.000311761,0.0002173872,0.000164735],"domain_scores_gemma":[0.9977628,0.0006267254,0.0002148236,0.0005800098,0.0005505008,0.0002651723],"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":[0.00002836722,0.00001070636,0.0003664521,0.0005019032,0.00001430427,0.00001447021,0.00002402119,0.0001382513,0.000116497,0.0003945803,0.9968891,0.001501468],"study_design_scores_gemma":[0.00007142915,0.000007583848,0.001818598,0.0001812386,0.00001270265,0.00003626087,0.0000714926,0.0001590422,0.0001747277,0.0007341775,0.9967163,0.00001645863],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004125272,0.00002521628,0.00004328385,0.00003410422,0.00001180552,0.000004853951,0.9988471,0.0003523998,0.0006398689],"genre_scores_gemma":[0.0001576549,0.00003201524,0.0001867836,0.00004050044,0.000003212254,0.00003626318,0.9989735,0.0001416203,0.0004284517],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8397869,"threshold_uncertainty_score":0.5359663,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02365312271414112,"score_gpt":0.2392044605254057,"score_spread":0.2155513378112646,"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."}}