{"id":"W6905886224","doi":"10.15468/dl.m37ege","title":"Occurrence Download","year":2022,"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; The Internet","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":[0.000977268,0.001938952,0.001529159,0.005091044,0.0010077,0.002575099,0.002648223,0.002071079,0.1720694],"category_scores_gemma":[0.00623707,0.0008769241,0.001232763,0.009268614,0.0004519654,0.002376821,0.002654035,0.001951777,0.2386734],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001505366,"about_ca_system_score_gemma":0.002237931,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02012329,"about_ca_topic_score_gemma":0.03195668,"domain_scores_codex":[0.9989856,0.0001390968,0.0001270608,0.0003575659,0.000219875,0.0001708063],"domain_scores_gemma":[0.997363,0.0007809767,0.0002298764,0.0006901968,0.0006497801,0.0002862455],"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":[0.00002771625,0.00001150257,0.0003969283,0.0005378604,0.0000130947,0.00001561256,0.00002456287,0.0001204456,0.0001135763,0.0003441134,0.9968582,0.001536373],"study_design_scores_gemma":[0.00006786286,0.000009003475,0.001879796,0.0002112949,0.00001371548,0.0000375104,0.00008310633,0.0001646303,0.0001897198,0.0007597081,0.996566,0.00001766639],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004708215,0.00002822924,0.00004800459,0.00004086382,0.00001441501,0.000006297264,0.998701,0.000443682,0.0006704758],"genre_scores_gemma":[0.0001739433,0.00003561875,0.000221039,0.0000511134,0.000004311712,0.00004944693,0.9987784,0.0001703647,0.000515824],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8279306,"threshold_uncertainty_score":0.5756295,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01850871640220096,"score_gpt":0.2277224731265546,"score_spread":0.2092137567243537,"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."}}