{"id":"W6924721212","doi":"10.15468/dl.s6qzrd","title":"Occurrence Download","year":2016,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Rural development and sustainability","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Data set; Set (abstract data type)","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":[0.0009443567,0.002129252,0.001531204,0.004636244,0.0009110018,0.002557014,0.003009026,0.002130311,0.1309073],"category_scores_gemma":[0.006513393,0.0008484304,0.001243929,0.009012543,0.0004343863,0.002378796,0.002431064,0.001999252,0.1970973],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001745755,"about_ca_system_score_gemma":0.002362297,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02451097,"about_ca_topic_score_gemma":0.04050017,"domain_scores_codex":[0.9989262,0.000148406,0.0001442723,0.0003571667,0.0002604124,0.000163374],"domain_scores_gemma":[0.9976698,0.0006219678,0.0002072259,0.0006148818,0.0006148659,0.0002713349],"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":[0.00002955254,0.00001278686,0.0003897838,0.0004483302,0.00001395408,0.00001436449,0.00001812231,0.0001458838,0.00007575761,0.0003138731,0.9970914,0.001446275],"study_design_scores_gemma":[0.0001024156,0.00001028585,0.002057298,0.000206418,0.000014982,0.00004700615,0.00007700107,0.0002915867,0.0001899495,0.0008624505,0.9961222,0.00001845711],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005284136,0.0000351646,0.0000462074,0.00004671508,0.0000143071,0.000006018525,0.9987218,0.0004634726,0.0006135264],"genre_scores_gemma":[0.0001681694,0.00003615778,0.0001855741,0.00003972511,0.000003702461,0.00003578305,0.9989696,0.0001163252,0.0004450502],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8690927,"threshold_uncertainty_score":0.4379284,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01256375521223086,"score_gpt":0.1960105995109018,"score_spread":0.1834468442986709,"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."}}