{"id":"W6924728517","doi":"10.15468/dl.trp8cd","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); Alien; Range (aeronautics); The Internet","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":[0.001045961,0.001962868,0.00156789,0.004591723,0.001017059,0.002531454,0.002859499,0.002307661,0.1419158],"category_scores_gemma":[0.006240904,0.000912979,0.001272885,0.008938846,0.0004691726,0.002404148,0.002522455,0.00211204,0.204455],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001657256,"about_ca_system_score_gemma":0.002418224,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02176256,"about_ca_topic_score_gemma":0.03727386,"domain_scores_codex":[0.9988859,0.0001604952,0.0001374942,0.000398997,0.0002385825,0.0001784324],"domain_scores_gemma":[0.9973001,0.0007918047,0.0002420082,0.0007327562,0.0006444394,0.0002888062],"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":[0.00003085893,0.00001274012,0.0003983419,0.0005235779,0.00001479916,0.00001502939,0.00002235917,0.0001369227,0.000117043,0.0003809964,0.996992,0.001355314],"study_design_scores_gemma":[0.00007734785,0.000009802075,0.001968629,0.0001973824,0.00001510319,0.00003866125,0.00007631625,0.0001764443,0.000204568,0.0008860188,0.99633,0.00001961976],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004455487,0.00002630375,0.00004513018,0.00004032601,0.00001253027,0.000005492693,0.9988575,0.000381331,0.000586836],"genre_scores_gemma":[0.0001718165,0.00003171656,0.0002108448,0.00004811394,0.00000348396,0.00004312918,0.9989095,0.0001366813,0.0004447303],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8580842,"threshold_uncertainty_score":0.4747555,"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."}}