{"id":"W6925064559","doi":"10.15468/dl.wkxtmg","title":"Occurrence Download","year":2016,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","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":[0.0009874725,0.002218154,0.001665501,0.005004801,0.000904701,0.002461098,0.003043854,0.00212201,0.1210115],"category_scores_gemma":[0.0054224,0.0008749148,0.001190647,0.00862877,0.0004561174,0.002316942,0.002681626,0.002009513,0.1799021],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0016378,"about_ca_system_score_gemma":0.00233274,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0166484,"about_ca_topic_score_gemma":0.02968338,"domain_scores_codex":[0.9989986,0.0001362724,0.0001337348,0.0003404233,0.0002297555,0.0001612719],"domain_scores_gemma":[0.9979749,0.0005177577,0.0002004336,0.0005457429,0.0004824977,0.0002786032],"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":[0.00004669806,0.00001669138,0.0005008791,0.0006534963,0.00002106991,0.0000227234,0.00002326695,0.0001761318,0.0001655274,0.0004446207,0.996215,0.001713885],"study_design_scores_gemma":[0.0000972893,0.000009263676,0.001859612,0.0001872673,0.00001556114,0.00005122524,0.00006165005,0.000200155,0.0002503365,0.0008175161,0.9964322,0.00001792325],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005970032,0.00003708068,0.00004657311,0.00003697355,0.00001164893,0.0000065111,0.998726,0.0004484658,0.0006271991],"genre_scores_gemma":[0.0001689174,0.00003520743,0.0001761431,0.0000404454,0.000003090146,0.00003345873,0.9990802,0.0001171478,0.0003453956],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8789884,"threshold_uncertainty_score":0.404824,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01575539840751363,"score_gpt":0.2501607596911459,"score_spread":0.2344053612836322,"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."}}