{"id":"W6887165427","doi":"10.15468/dl.svup3r","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":"Download; Matching (statistics); Range (aeronautics); Democracy; Beneficiary","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":[0.0006765965,0.003023093,0.002106776,0.006764201,0.00117182,0.002906369,0.00222412,0.00252961,0.2391206],"category_scores_gemma":[0.004647443,0.000954382,0.001947266,0.008807749,0.0003671612,0.003102822,0.00304862,0.001955104,0.2952954],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001323643,"about_ca_system_score_gemma":0.002436014,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02256091,"about_ca_topic_score_gemma":0.03706402,"domain_scores_codex":[0.9990502,0.000109445,0.0001388621,0.0003338504,0.0001912522,0.0001763814],"domain_scores_gemma":[0.9979584,0.0006165743,0.0001682551,0.0004871587,0.0004714257,0.0002981123],"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":[0.00007104865,0.0000264263,0.000459025,0.0008543113,0.00002166355,0.00003612174,0.00003157176,0.0002058215,0.0001619669,0.0004130583,0.993687,0.004032013],"study_design_scores_gemma":[0.0001179486,0.00002002843,0.001976569,0.0002547211,0.00002605368,0.0000819479,0.000108371,0.0005525694,0.0002592845,0.001287969,0.9952827,0.00003190271],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001094432,0.00009053851,0.0001223276,0.00005796807,0.00003424141,0.00001574994,0.9958507,0.001876694,0.001842401],"genre_scores_gemma":[0.0003221991,0.00009158851,0.0006501093,0.0001007973,0.000009720278,0.00006360417,0.9973606,0.0003560141,0.001045339],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7608794,"threshold_uncertainty_score":0.7999382,"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."}}