{"id":"W6887295772","doi":"10.15468/dl.vw39v8","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); Set (abstract data type); Data set","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":[0.001190777,0.0019927,0.001760113,0.005595616,0.001091614,0.003034831,0.003115011,0.002111885,0.1919378],"category_scores_gemma":[0.007147102,0.001042321,0.001217106,0.01108491,0.0004808096,0.002584656,0.002815553,0.002138874,0.2571656],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001632474,"about_ca_system_score_gemma":0.002495252,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02010908,"about_ca_topic_score_gemma":0.03248055,"domain_scores_codex":[0.9988108,0.000161727,0.0001583776,0.0004136833,0.0002649164,0.0001905579],"domain_scores_gemma":[0.9971414,0.0008411675,0.000257323,0.0007486822,0.0006995371,0.0003118122],"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":[0.00002687711,0.000009764489,0.0003134693,0.0005619981,0.00001502606,0.00001388656,0.00002390235,0.0001051475,0.000108307,0.0003964966,0.9970633,0.001361797],"study_design_scores_gemma":[0.00006129724,0.000006411376,0.001450681,0.0001930103,0.00001393818,0.00003287271,0.00006595874,0.0001139771,0.0001664334,0.000748104,0.9971307,0.00001665073],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000319348,0.00002643042,0.00004895045,0.0000331768,0.00001143225,0.000005058392,0.9987914,0.0003890399,0.00066262],"genre_scores_gemma":[0.0001422009,0.00003544001,0.0002030789,0.0000437601,0.000003392121,0.00004270585,0.9988544,0.0001939732,0.0004809427],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8080622,"threshold_uncertainty_score":0.6420959,"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."}}