{"id":"W6905718767","doi":"10.15468/dl.qvts2g","title":"Occurrence Download","year":2021,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Range (aeronautics); Matching (statistics); Key (lock); Taxonomy (biology)","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":["insufficient_payload"],"category_scores_codex":[0.0008054889,0.003005622,0.002226318,0.006966115,0.00120119,0.003587991,0.00254692,0.002540341,0.3475859],"category_scores_gemma":[0.005459665,0.0009216922,0.001933016,0.01008272,0.0003951382,0.003266987,0.003682525,0.002067237,0.4607806],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001570974,"about_ca_system_score_gemma":0.002309366,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02082323,"about_ca_topic_score_gemma":0.03628479,"domain_scores_codex":[0.9987419,0.0001363248,0.0001607099,0.0004520228,0.0002690299,0.0002400014],"domain_scores_gemma":[0.9976062,0.0005880211,0.0001767994,0.0006208849,0.0006208497,0.0003871648],"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":[0.00005575975,0.0000183103,0.000320971,0.0005717893,0.000014045,0.00002026275,0.00002312115,0.0001193457,0.0001219434,0.0003987718,0.9947422,0.003593502],"study_design_scores_gemma":[0.0001003188,0.000016506,0.001488233,0.0001899414,0.0000169889,0.00004886288,0.00007517418,0.0003573406,0.0001781335,0.001139652,0.9963627,0.00002612001],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006417122,0.00006495763,0.0001136404,0.00006433349,0.0000343105,0.00001181485,0.9954214,0.002006481,0.002218935],"genre_scores_gemma":[0.0002481919,0.00007033625,0.0005052719,0.0001050302,0.00001019087,0.000046442,0.9972536,0.0004194679,0.001341563],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6524141,"threshold_uncertainty_score":0.9305896,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01878725496536469,"score_gpt":0.2292776369319846,"score_spread":0.2104903819666199,"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."}}