{"id":"W4395396071","doi":"10.15468/dl.8vy5gu","title":"Occurrence Download","year":2022,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Computer science; World Wide Web","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":[0.0009288214,0.002084142,0.001636863,0.00486068,0.0009231691,0.002547027,0.00277073,0.001938296,0.1493521],"category_scores_gemma":[0.005519561,0.0009582534,0.001159784,0.009718645,0.0004268788,0.002353927,0.002498734,0.0019809,0.2082245],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001579059,"about_ca_system_score_gemma":0.002292174,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01945162,"about_ca_topic_score_gemma":0.03276579,"domain_scores_codex":[0.9989455,0.0001402813,0.0001400968,0.0003772385,0.0002257479,0.0001711391],"domain_scores_gemma":[0.9977317,0.0006120065,0.0002266135,0.0005642339,0.0005959992,0.0002694489],"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":[0.00003541312,0.00001196003,0.0003750801,0.0005732487,0.00001596305,0.00001528426,0.00002067373,0.0001244521,0.0001232053,0.0003953421,0.9969121,0.001397252],"study_design_scores_gemma":[0.000081315,0.000008210402,0.001739659,0.0001667951,0.00001454282,0.00003476405,0.00005411816,0.0001503132,0.0001890504,0.0007889841,0.9967543,0.0000178987],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003707605,0.00002389032,0.00004040874,0.00002875524,0.000009912916,0.000004894564,0.9988918,0.0003478576,0.0006155245],"genre_scores_gemma":[0.0001496084,0.00003401333,0.0001896294,0.00004553635,0.000003410689,0.00004047971,0.9989422,0.0001458939,0.0004493563],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8506479,"threshold_uncertainty_score":0.4996325,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01996441822405556,"score_gpt":0.2168608301763518,"score_spread":0.1968964119522962,"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."}}