{"id":"W6943387947","doi":"10.15468/dl.jzcuud","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); Alien; Real world data","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":[0.000953187,0.001888614,0.001604295,0.004941534,0.001006753,0.002504436,0.002671951,0.00209961,0.1432958],"category_scores_gemma":[0.005634268,0.0008831136,0.001255794,0.009702615,0.0004541427,0.002173493,0.002442958,0.001908261,0.2040856],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001574508,"about_ca_system_score_gemma":0.002316247,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02259142,"about_ca_topic_score_gemma":0.03601604,"domain_scores_codex":[0.9989976,0.0001380249,0.000130189,0.0003475513,0.000217959,0.00016873],"domain_scores_gemma":[0.9975439,0.0007320952,0.000233891,0.000632505,0.0005867491,0.0002709072],"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":[0.00003267714,0.00001312063,0.0004439093,0.0006613905,0.00001658075,0.00001813603,0.00002698111,0.0001347535,0.0001506799,0.0003744233,0.9965945,0.001532836],"study_design_scores_gemma":[0.00007906842,0.0000103991,0.002398396,0.0002331184,0.00001733991,0.00004301554,0.00008643384,0.0001561611,0.0002119598,0.0006824892,0.9960627,0.00001885419],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004977209,0.00003099786,0.00003864719,0.0000365353,0.00001214274,0.000005483743,0.9988976,0.0003442793,0.0005845242],"genre_scores_gemma":[0.0001690261,0.00003733339,0.0001773708,0.00004511128,0.000003587098,0.00004224299,0.9989696,0.0001206706,0.0004352513],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8567042,"threshold_uncertainty_score":0.4793721,"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."}}