{"id":"W6962022046","doi":"10.15468/dl.qxwtwz","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); Alien","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":[0.0009736542,0.001894842,0.001612479,0.005360639,0.001051354,0.002732659,0.002807809,0.002108761,0.1594616],"category_scores_gemma":[0.006213064,0.0008869873,0.001254934,0.01043048,0.0004444149,0.002457074,0.002561922,0.002029023,0.2314813],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001673763,"about_ca_system_score_gemma":0.002456911,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02316069,"about_ca_topic_score_gemma":0.03671313,"domain_scores_codex":[0.9989222,0.0001493926,0.0001379585,0.0003778944,0.0002360414,0.0001764222],"domain_scores_gemma":[0.9974929,0.0007347215,0.0002202864,0.0006392192,0.0006482813,0.0002645033],"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":[0.00002878015,0.0000115823,0.0003885105,0.0006135732,0.00001455643,0.0000167519,0.00002580549,0.0001199759,0.0001151991,0.0004098598,0.9967012,0.001554287],"study_design_scores_gemma":[0.00006010427,0.000007652698,0.001685107,0.0002062741,0.00001361576,0.00003570269,0.00007891883,0.0001351864,0.0001733846,0.0007395068,0.9968478,0.00001685546],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000390083,0.00002997275,0.000042646,0.00003968779,0.00001190617,0.00000563907,0.9988136,0.0003450656,0.0006725804],"genre_scores_gemma":[0.000156332,0.00004125736,0.000202125,0.00004836034,0.000003666013,0.00004525456,0.9988269,0.0001390725,0.0005369404],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8405384,"threshold_uncertainty_score":0.5334522,"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."}}