{"id":"W6943628967","doi":"10.15468/dl.rm3fwv","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":[0.0009409061,0.001967913,0.00157585,0.005228378,0.001088377,0.002670563,0.002819179,0.002106178,0.1596718],"category_scores_gemma":[0.005839481,0.0008918874,0.001290016,0.009882136,0.0004586262,0.002457647,0.00259282,0.002060408,0.2336188],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001650371,"about_ca_system_score_gemma":0.002424677,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02483309,"about_ca_topic_score_gemma":0.03983968,"domain_scores_codex":[0.9989672,0.0001440379,0.0001261659,0.0003667299,0.0002230701,0.0001729517],"domain_scores_gemma":[0.9975986,0.0006978474,0.0001993744,0.0006272809,0.0006149599,0.000261845],"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":[0.00002694341,0.00001174125,0.0003729745,0.0005207866,0.00001342701,0.00001578583,0.00002555475,0.0001111798,0.0001105965,0.0003702418,0.9970048,0.001416059],"study_design_scores_gemma":[0.00006036669,0.000007844951,0.001832661,0.000196934,0.00001381193,0.00003714335,0.00008731588,0.000142619,0.0001834792,0.0007466722,0.9966731,0.0000179222],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004421569,0.00003016186,0.00004581401,0.00004185124,0.00001317483,0.000005993727,0.9987118,0.0003996944,0.0007072518],"genre_scores_gemma":[0.0001589413,0.00003650954,0.0001971535,0.00004756872,0.000003674846,0.00004480629,0.9988284,0.000147214,0.0005357566],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8403282,"threshold_uncertainty_score":0.5341555,"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."}}