{"id":"W6962135648","doi":"10.15468/dl.yf63yr","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); UniProt; Identification (biology); Set (abstract data type); 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":[0.00094367,0.001961644,0.001535846,0.004766994,0.000941447,0.002398739,0.002748082,0.001940804,0.1435134],"category_scores_gemma":[0.005547312,0.0008829235,0.001162863,0.009502272,0.0004380694,0.002187083,0.002457672,0.001961138,0.2030134],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001579303,"about_ca_system_score_gemma":0.002297523,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02313215,"about_ca_topic_score_gemma":0.03709705,"domain_scores_codex":[0.9990295,0.0001268828,0.0001250282,0.000331921,0.0002216405,0.0001649743],"domain_scores_gemma":[0.9977525,0.0006238572,0.0002120721,0.0006022493,0.0005482491,0.0002611608],"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":[0.00002893624,0.00001112653,0.0003864019,0.0004917425,0.00001460202,0.00001581158,0.0000252274,0.0001383415,0.000129572,0.0004054463,0.9968854,0.001467323],"study_design_scores_gemma":[0.00006723687,0.00000780531,0.001890621,0.0001742775,0.00001391354,0.00003987321,0.00007563965,0.0001676165,0.0002089125,0.0007563867,0.9965799,0.00001774434],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004613977,0.00002529695,0.00005074412,0.00003450789,0.00001188723,0.000005140423,0.9987668,0.0004308666,0.0006287007],"genre_scores_gemma":[0.0001663879,0.00003024886,0.0002042267,0.00003981902,0.000003051204,0.00003809401,0.998936,0.0001586017,0.0004236284],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8564867,"threshold_uncertainty_score":0.4801,"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."}}