{"id":"W6943239898","doi":"10.15468/dl.pt2qkh","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; Matching (statistics); Range (aeronautics); Order (exchange); Data 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001053383,0.001935142,0.00171863,0.005242941,0.001043716,0.002956674,0.002989435,0.002143901,0.1889094],"category_scores_gemma":[0.007349134,0.001035659,0.001232219,0.01031248,0.0004410187,0.00266342,0.002630942,0.00207507,0.2508502],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001791555,"about_ca_system_score_gemma":0.002480998,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02031118,"about_ca_topic_score_gemma":0.03194486,"domain_scores_codex":[0.9988642,0.0001545263,0.0001578177,0.0003912191,0.0002561048,0.0001762405],"domain_scores_gemma":[0.9973505,0.000776134,0.0002257796,0.0006443066,0.0007250348,0.0002783598],"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":[0.00002725544,0.0000100269,0.0002996782,0.0005859681,0.00001309602,0.00001256993,0.00002095598,0.000105397,0.00008163211,0.0003450763,0.9969181,0.001580279],"study_design_scores_gemma":[0.00007410023,0.00000739798,0.001390522,0.0002142598,0.00001296555,0.00003227437,0.00007146983,0.000155444,0.0001467269,0.0008123109,0.997066,0.00001656578],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003141106,0.00002859972,0.00004512916,0.00004089784,0.00001133875,0.000005915048,0.9987493,0.000407298,0.0006802166],"genre_scores_gemma":[0.0001541536,0.00004410473,0.0002417536,0.00005495705,0.000003820204,0.00005436934,0.9987092,0.0001825688,0.0005550286],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8110906,"threshold_uncertainty_score":0.6319648,"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."}}