{"id":"W6924458641","doi":"10.15468/dl.sn6ky7","title":"Occurrence Download","year":2024,"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; Field (mathematics)","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":[0.0010473,0.00226852,0.001687402,0.00512962,0.001036956,0.00269572,0.003174798,0.002151099,0.1377218],"category_scores_gemma":[0.005741407,0.0009512501,0.001191888,0.009327807,0.000468716,0.00245268,0.002640674,0.0021258,0.2051608],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001831854,"about_ca_system_score_gemma":0.002494887,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02019089,"about_ca_topic_score_gemma":0.03681202,"domain_scores_codex":[0.9989228,0.0001503281,0.0001340893,0.0003790526,0.0002413528,0.000172334],"domain_scores_gemma":[0.9977976,0.00059981,0.0001981815,0.0005647422,0.0005549013,0.0002848291],"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":[0.00004030946,0.00001414335,0.000391633,0.0005986703,0.00001803774,0.00001853002,0.00002155475,0.0001454296,0.0001397785,0.0004335304,0.996622,0.001556483],"study_design_scores_gemma":[0.00008122782,0.000007774135,0.001535429,0.0001777449,0.00001425419,0.00004047164,0.00005777767,0.0001780944,0.0002260826,0.000846285,0.9968172,0.00001771137],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004851852,0.00003495701,0.0000484688,0.00003653467,0.0000102207,0.000006132037,0.9986488,0.0004692259,0.0006970894],"genre_scores_gemma":[0.0001577401,0.00003512392,0.0001977269,0.00004437257,0.000002926202,0.00003515297,0.9989753,0.0001495823,0.000402142],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8622782,"threshold_uncertainty_score":0.4607254,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01556531569820385,"score_gpt":0.2551266634124261,"score_spread":0.2395613477142223,"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."}}