{"id":"W6943662531","doi":"10.15468/dl.vbacr6","title":"Occurrence Download","year":2020,"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":[0.001053341,0.001969797,0.001625521,0.006002819,0.0008985311,0.002492749,0.002945189,0.001896017,0.1759087],"category_scores_gemma":[0.00597004,0.0009857621,0.001095759,0.01215925,0.0004650889,0.002337077,0.002492448,0.001938345,0.2207287],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001678064,"about_ca_system_score_gemma":0.002384312,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.023385,"about_ca_topic_score_gemma":0.03319304,"domain_scores_codex":[0.9989902,0.0001279188,0.0001357252,0.0003363455,0.0002357981,0.0001739581],"domain_scores_gemma":[0.9975176,0.0006736849,0.0002503956,0.0006449433,0.0006084025,0.0003049842],"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":[0.00003119253,0.00001061282,0.0003600374,0.0005465586,0.00001483351,0.00001540315,0.00002419594,0.0001358676,0.0001209333,0.0004094235,0.9967438,0.001587083],"study_design_scores_gemma":[0.00006546606,0.000006854843,0.001816023,0.0001744507,0.00001362413,0.00003591855,0.00007031627,0.0001309386,0.0001841992,0.0006521398,0.9968334,0.00001663907],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003478656,0.00002190093,0.0000375604,0.00002798945,0.000009286121,0.000004182442,0.9990028,0.0002903956,0.000571216],"genre_scores_gemma":[0.000139234,0.00002999716,0.0001632403,0.00003324512,0.000002806763,0.00003261839,0.9990153,0.000132596,0.00045089],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8240913,"threshold_uncertainty_score":0.5884733,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02101450523743655,"score_gpt":0.226568981422551,"score_spread":0.2055544761851144,"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."}}