{"id":"W6943540130","doi":"10.15468/dl.uu5jzu","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); Confidentiality; Species name","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":[0.001068563,0.001989473,0.001571872,0.005047861,0.001047908,0.002542602,0.002967249,0.002167265,0.1514],"category_scores_gemma":[0.0059748,0.0009296515,0.001160615,0.009431308,0.0004714729,0.002353499,0.002555778,0.00212573,0.2051288],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001629892,"about_ca_system_score_gemma":0.00237934,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02110485,"about_ca_topic_score_gemma":0.03529035,"domain_scores_codex":[0.9989455,0.0001464675,0.0001312898,0.0003654163,0.0002360404,0.0001751984],"domain_scores_gemma":[0.9975159,0.0007145869,0.0002348218,0.0006540205,0.0005884369,0.0002922031],"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":[0.00002955222,0.0000129374,0.0003764008,0.0005349889,0.00001481164,0.00001576198,0.00002466422,0.0001318469,0.0001323316,0.0004004483,0.9969427,0.001383491],"study_design_scores_gemma":[0.0000744615,0.000008270809,0.001815656,0.000185135,0.00001401623,0.00003903121,0.00007303743,0.0001611914,0.000207914,0.00078315,0.9966199,0.00001819942],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004726034,0.00002756792,0.00005138567,0.00003723582,0.00001295206,0.000005786933,0.9987267,0.0004116513,0.0006795169],"genre_scores_gemma":[0.0001635053,0.00003048191,0.0002033307,0.00004367073,0.000003351822,0.00004291789,0.9989194,0.0001508113,0.0004425321],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8486,"threshold_uncertainty_score":0.5064834,"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."}}