{"id":"W4395841115","doi":"10.15468/dl.bgkv3u","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":[0.001051013,0.002081539,0.001699119,0.004886556,0.001006937,0.002672972,0.002899859,0.002307748,0.1558848],"category_scores_gemma":[0.006568539,0.0009780746,0.001248147,0.009576941,0.0004578966,0.002446709,0.002606011,0.00215662,0.2176885],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001800907,"about_ca_system_score_gemma":0.002436901,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0234634,"about_ca_topic_score_gemma":0.03623699,"domain_scores_codex":[0.9988503,0.0001512344,0.0001469261,0.0003914615,0.0002778362,0.0001821615],"domain_scores_gemma":[0.9975125,0.0007040615,0.0002328298,0.0006283876,0.0006299907,0.0002923113],"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":[0.00003068088,0.00001137945,0.0003500147,0.000501882,0.00001482029,0.00001402598,0.00002189109,0.0001308608,0.0000982275,0.0003510514,0.9971807,0.001294542],"study_design_scores_gemma":[0.00009668828,0.0000086399,0.001875638,0.0001897462,0.00001489797,0.00003622886,0.00007058682,0.0002110002,0.0001800774,0.0008081764,0.9964902,0.00001819703],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003711487,0.00002550678,0.00004202859,0.00003864949,0.00001073441,0.000005032497,0.9988625,0.0004190127,0.0005594737],"genre_scores_gemma":[0.0001607242,0.00003224245,0.0001877682,0.00004854411,0.000003307396,0.00004009328,0.9989545,0.0001573036,0.0004154189],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8441151,"threshold_uncertainty_score":0.5214868,"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."}}