{"id":"W6924105928","doi":"10.15468/dl.4jaf3e","title":"Occurrence Download","year":2025,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Advanced Neural Network Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Matching (statistics); Download; Range (aeronautics); Agropyron cristatum; Training set","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001364833,0.0002802053,0.0002483672,0.000106298,0.0003737525,0.0002358154,0.002139975,0.0002583834,0.0001082504],"category_scores_gemma":[0.00009462832,0.0002995704,0.0001293217,0.0009609147,0.0001128545,0.001829516,0.001291976,0.0003203925,0.02945871],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003039945,"about_ca_system_score_gemma":0.0002111478,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007689586,"about_ca_topic_score_gemma":0.00000561885,"domain_scores_codex":[0.9984598,0.00005176861,0.0003898501,0.0003657426,0.0004147077,0.000318101],"domain_scores_gemma":[0.9979224,0.00004658087,0.0003020806,0.001317832,0.0002702151,0.0001408507],"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":[0.000005467015,0.00002184127,0.0000458709,0.00005930707,0.00001193132,9.442056e-7,0.000009858059,0.00006756048,1.673907e-8,0.000007644514,0.9937201,0.006049423],"study_design_scores_gemma":[0.0001625704,0.00001405809,0.00001462142,0.000002755808,0.00001610377,0.000003006669,0.000007426333,0.00000513801,0.000002919815,0.0000158662,0.9995029,0.0002526447],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000004779162,0.00002392936,0.006495943,0.0005965551,0.0005510653,0.0003854946,0.991524,0.0002434694,0.0001746981],"genre_scores_gemma":[0.000001919692,0.00008922652,0.00008630567,0.001248379,0.000001198217,0.000012315,0.9985604,4.053556e-9,2.944726e-7],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02935046,"threshold_uncertainty_score":0.9999456,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01377963747351483,"score_gpt":0.2361242913534016,"score_spread":0.2223446538798868,"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."}}