{"id":"W6962514759","doi":"10.15468/dl.xwep6b","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; Entomology; Arthropod; Matching (statistics); Species name; Range (aeronautics); Insect","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":[0.001029775,0.002055565,0.001756361,0.005533351,0.001092817,0.002890674,0.002876974,0.00220797,0.2118755],"category_scores_gemma":[0.006746456,0.001001254,0.00131872,0.01009123,0.0004109603,0.002804362,0.00298411,0.002070175,0.2820797],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001751432,"about_ca_system_score_gemma":0.002344036,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01858783,"about_ca_topic_score_gemma":0.03157776,"domain_scores_codex":[0.9988295,0.0001431704,0.0001572647,0.0004211058,0.0002503854,0.0001984769],"domain_scores_gemma":[0.9974465,0.0007124686,0.0002388021,0.0006352314,0.0006760394,0.0002909814],"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":[0.00003223732,0.00001051728,0.0003591016,0.0006182872,0.00001473789,0.00001449894,0.00002204876,0.0001043509,0.0001163221,0.0003779758,0.9966826,0.00164732],"study_design_scores_gemma":[0.00007109989,0.00000864709,0.001535641,0.0002110155,0.00001395095,0.00003476578,0.00006994447,0.0001485691,0.0001692083,0.0007130211,0.9970074,0.00001676009],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003170883,0.00002455783,0.0000438414,0.00003034376,0.0000109355,0.000005043542,0.9988984,0.0003566202,0.0005986123],"genre_scores_gemma":[0.0001316113,0.00003409175,0.0002187592,0.00004263232,0.000003606454,0.00004615702,0.9988752,0.0001620427,0.0004858907],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7881244,"threshold_uncertainty_score":0.7087942,"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."}}