{"id":"W6906027399","doi":"10.15468/dl.zdjndx","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":"Geodetic datum; Coordinate system; Matching (statistics); Download; Range (aeronautics); Geographic coordinate conversion","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":[0.0009124563,0.001876014,0.001537492,0.004826138,0.001050854,0.002905997,0.002736852,0.001861754,0.1905892],"category_scores_gemma":[0.006135815,0.0009026729,0.001393853,0.009562104,0.0004157838,0.002587984,0.002791726,0.001930328,0.2787818],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001433536,"about_ca_system_score_gemma":0.002322947,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02081964,"about_ca_topic_score_gemma":0.03303496,"domain_scores_codex":[0.9989427,0.0001294457,0.0001320428,0.0003793111,0.0002293431,0.0001871776],"domain_scores_gemma":[0.9975126,0.0006512294,0.0001999479,0.0007036313,0.0006714834,0.0002612138],"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":[0.00002994264,0.000009698208,0.0004312194,0.0005028445,0.00001466313,0.00001682862,0.00002684486,0.0001205993,0.0001245643,0.0003885051,0.9963961,0.001938308],"study_design_scores_gemma":[0.00005002947,0.000006775985,0.00165243,0.0001539981,0.00001225322,0.00003468985,0.00007767857,0.0001654214,0.0001809898,0.000794009,0.9968556,0.00001612903],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004891208,0.00003045228,0.00007131436,0.00004475243,0.00001745047,0.00000619586,0.9981445,0.0007341863,0.0009022811],"genre_scores_gemma":[0.0002003515,0.00004087429,0.0002804961,0.0000551089,0.000005007714,0.00004552383,0.9984485,0.000274652,0.0006495098],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8094108,"threshold_uncertainty_score":0.6375846,"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."}}