{"id":"W6943208808","doi":"10.15468/dl.xb4m9a","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":"Mammal; Download; Extant taxon; Natural history; Data collection; 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":[0.001197868,0.002134476,0.001963702,0.007307408,0.001062959,0.003138116,0.003170831,0.001905503,0.2548972],"category_scores_gemma":[0.007849762,0.001130843,0.001415203,0.01464008,0.0004595582,0.002894809,0.002962906,0.001985944,0.3210184],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001842964,"about_ca_system_score_gemma":0.002745487,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02410209,"about_ca_topic_score_gemma":0.03486234,"domain_scores_codex":[0.9986424,0.0001580203,0.0001945774,0.0004670973,0.0003156229,0.0002224281],"domain_scores_gemma":[0.9963601,0.0009850267,0.0003098496,0.0009455688,0.001008336,0.0003910942],"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":[0.00002894252,0.000008367724,0.0002888842,0.0005543507,0.00001324659,0.00001220382,0.00002097896,0.00008959464,0.00008765533,0.0003234881,0.996878,0.001694181],"study_design_scores_gemma":[0.00005974554,0.00000714279,0.001553928,0.0001829131,0.00001285818,0.00002953816,0.00007018368,0.0001073266,0.0001603551,0.0006043818,0.9971956,0.00001599124],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002478766,0.00001862809,0.00003756593,0.00002691411,0.000009399536,0.000005120196,0.9989067,0.0003628503,0.0006079905],"genre_scores_gemma":[0.0001158401,0.0000325331,0.0001970584,0.00003547015,0.000003541021,0.00004710306,0.9987748,0.0002037494,0.0005898444],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7451028,"threshold_uncertainty_score":0.8527161,"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."}}