{"id":"W6962302134","doi":"10.15468/dl.v3htwd","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); 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":[0.001080873,0.001951449,0.00154232,0.004545365,0.001048402,0.002536159,0.002899799,0.002207005,0.1462824],"category_scores_gemma":[0.006172542,0.0009321518,0.001195996,0.009118685,0.0004469744,0.002462816,0.0024896,0.002136044,0.2072041],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001688543,"about_ca_system_score_gemma":0.002376877,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02116268,"about_ca_topic_score_gemma":0.03490323,"domain_scores_codex":[0.9989483,0.0001453751,0.0001411752,0.0003561722,0.0002353813,0.0001735258],"domain_scores_gemma":[0.9975588,0.0006955802,0.0002230215,0.0006453441,0.0005943108,0.0002828645],"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":[0.00003003695,0.00001204082,0.0003465866,0.0004768819,0.00001359603,0.00001501147,0.00002239709,0.0001230816,0.0001228445,0.0003791206,0.9971678,0.001290761],"study_design_scores_gemma":[0.00007377675,0.000008306836,0.00178643,0.0001906585,0.00001362903,0.00003881497,0.00007061727,0.0001742083,0.000206009,0.0008287862,0.9965911,0.00001775916],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000421557,0.00002552217,0.00005055047,0.00003733438,0.00001257188,0.00000584554,0.9987761,0.0004041214,0.0006457161],"genre_scores_gemma":[0.0001542982,0.00002961366,0.0002093168,0.0000446401,0.000003173178,0.00004285004,0.9989831,0.0001432749,0.0003897186],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8537176,"threshold_uncertainty_score":0.4893634,"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."}}