{"id":"W6906006274","doi":"10.15468/dl.xnr35a","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); State (computer science); Confidentiality","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":[0.001048609,0.001924368,0.001508971,0.005236081,0.001041334,0.002586643,0.0028809,0.002036219,0.1564456],"category_scores_gemma":[0.006067328,0.0008883969,0.001128885,0.01014562,0.0004782868,0.002390113,0.002592911,0.002090972,0.2185065],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001594597,"about_ca_system_score_gemma":0.002297835,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02038901,"about_ca_topic_score_gemma":0.0356566,"domain_scores_codex":[0.9989622,0.0001451484,0.0001283561,0.0003553367,0.0002346611,0.0001742526],"domain_scores_gemma":[0.9975091,0.0007035014,0.0002353235,0.000666044,0.0006000968,0.0002858188],"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":[0.00002644806,0.00001163873,0.0003609826,0.0004824501,0.0000131377,0.00001463497,0.00002484025,0.0001226911,0.0001124232,0.000403032,0.9970236,0.001404075],"study_design_scores_gemma":[0.00006180039,0.000007211378,0.001667748,0.0001746867,0.000011937,0.00003476013,0.00007581819,0.0001396035,0.0001790994,0.0007719154,0.9968587,0.0000167107],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004674092,0.00002699474,0.00005051701,0.00003676319,0.0000133809,0.000005379346,0.9987148,0.0003805065,0.0007248781],"genre_scores_gemma":[0.0001656275,0.00003170028,0.0002044975,0.00004136822,0.000003660573,0.00004310045,0.9988678,0.000152431,0.0004898862],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8435544,"threshold_uncertainty_score":0.5233626,"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."}}