{"id":"W6961927016","doi":"10.15468/dl.pj49xu","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; 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":[0.001078938,0.001943404,0.001554141,0.004907265,0.001015582,0.002564646,0.002867854,0.002159,0.1504318],"category_scores_gemma":[0.006254428,0.0009022037,0.001230601,0.009544273,0.000457329,0.002313823,0.002475246,0.002018292,0.2137301],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001665968,"about_ca_system_score_gemma":0.002404779,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02317056,"about_ca_topic_score_gemma":0.03779016,"domain_scores_codex":[0.9989066,0.0001539611,0.0001378152,0.0003819265,0.0002415783,0.0001781234],"domain_scores_gemma":[0.9973173,0.0007889736,0.0002389505,0.0007110368,0.0006525789,0.000291138],"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":[0.00002897848,0.00001224023,0.0003879451,0.0005102063,0.00001413806,0.00001461236,0.00002253014,0.0001271709,0.0001146452,0.0003751796,0.9970094,0.001382877],"study_design_scores_gemma":[0.00007254545,0.000009005489,0.002033927,0.0001907702,0.00001419154,0.00003660101,0.00007655724,0.0001541951,0.0001980612,0.0007896667,0.9964059,0.00001846145],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004313231,0.00002528716,0.00004266381,0.00003721431,0.00001151157,0.000005445557,0.9988686,0.0003597044,0.000606484],"genre_scores_gemma":[0.0001638802,0.00003123061,0.0001933593,0.00004349712,0.000003370703,0.0000432272,0.998928,0.0001343122,0.0004590767],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8495682,"threshold_uncertainty_score":0.5032443,"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."}}