{"id":"W6887077415","doi":"10.15468/dl.m56f2x","title":"Occurrence Download","year":2024,"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; Sander; Matching (statistics); 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":[0.0009822419,0.001966039,0.001547655,0.005553413,0.001097718,0.002569531,0.002769297,0.001985155,0.1936052],"category_scores_gemma":[0.006347018,0.0009895548,0.001134086,0.01056267,0.0004825888,0.00258423,0.002893535,0.002008888,0.2619873],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001769844,"about_ca_system_score_gemma":0.002564543,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02673051,"about_ca_topic_score_gemma":0.04694812,"domain_scores_codex":[0.99896,0.0001330889,0.0001295564,0.0003530347,0.0002485822,0.0001756977],"domain_scores_gemma":[0.9973478,0.0007137806,0.0002261352,0.0006860435,0.0007355717,0.0002906154],"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":[0.00002371794,0.000009614138,0.0003333106,0.0004694359,0.00001138975,0.00001426526,0.00002807211,0.0001011032,0.0001034365,0.0003694883,0.9970412,0.001494977],"study_design_scores_gemma":[0.00005124492,0.000006106544,0.00145488,0.0001636794,0.00001034333,0.00003063411,0.00008300303,0.0001080226,0.0001598461,0.0006573467,0.9972589,0.00001594421],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004251957,0.00002373258,0.00005417448,0.00003525053,0.00001249963,0.00000566392,0.9985695,0.0004590511,0.0007977062],"genre_scores_gemma":[0.0001732812,0.00003479851,0.0002701991,0.00004329205,0.00000378461,0.000049881,0.9985611,0.0002369334,0.000626802],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8063948,"threshold_uncertainty_score":0.647674,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01708767307206114,"score_gpt":0.2335971948231368,"score_spread":0.2165095217510757,"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."}}