{"id":"W6943352571","doi":"10.15468/dl.v8fxuq","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); Range (aeronautics); State (computer science); 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":[0.0008817625,0.00197035,0.001606483,0.005047037,0.001146702,0.002775016,0.002901117,0.002258309,0.1531195],"category_scores_gemma":[0.005614387,0.000938138,0.001461628,0.009564182,0.0004420035,0.002509046,0.002676406,0.002093899,0.2282335],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001586231,"about_ca_system_score_gemma":0.002372905,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01891949,"about_ca_topic_score_gemma":0.03145546,"domain_scores_codex":[0.9989304,0.0001442872,0.0001356229,0.0003887617,0.0002230045,0.0001779132],"domain_scores_gemma":[0.997838,0.0005941396,0.0001777307,0.0005916706,0.0005570082,0.0002414559],"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":[0.00003230182,0.00001314917,0.0004402834,0.00065385,0.00001723492,0.00001841879,0.0000238248,0.0001351263,0.00013967,0.0003803224,0.9962605,0.001885314],"study_design_scores_gemma":[0.00006874468,0.000009482031,0.001836332,0.0002207558,0.000016629,0.00004697414,0.00007477638,0.0001936661,0.0002021409,0.0008195409,0.9964934,0.00001771193],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005746083,0.00004681206,0.00005769613,0.00004876828,0.00001646471,0.000007139045,0.9984185,0.0005282123,0.0008189129],"genre_scores_gemma":[0.0001742313,0.00004508401,0.0002185676,0.00005997742,0.000004157941,0.00004372327,0.9987992,0.0001474631,0.0005075163],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8468804,"threshold_uncertainty_score":0.5122359,"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."}}