{"id":"W6887086548","doi":"10.15468/dl.sahna7","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":"Extant taxon; Download; Natural history; Matching (statistics); Natural (archaeology); Range (aeronautics)","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":[0.001116409,0.002163284,0.001892477,0.006211194,0.001130191,0.003211813,0.002969977,0.002053105,0.2215674],"category_scores_gemma":[0.007634251,0.001122596,0.001477957,0.01214997,0.0004547785,0.002859488,0.002991437,0.002037049,0.2924365],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001654966,"about_ca_system_score_gemma":0.002421522,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0212225,"about_ca_topic_score_gemma":0.03324051,"domain_scores_codex":[0.9987589,0.0001532936,0.0001719704,0.0004548664,0.0002608365,0.0002001584],"domain_scores_gemma":[0.9969873,0.0008814661,0.0002594288,0.000781765,0.000785217,0.0003048131],"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":[0.00003170229,0.000009406548,0.0003751196,0.0006532054,0.00001614375,0.00001481631,0.00002538458,0.0001071638,0.0001008272,0.0003540879,0.9965991,0.001713136],"study_design_scores_gemma":[0.00007027539,0.000007970458,0.001626246,0.0002101358,0.00001525948,0.0000354386,0.00007823377,0.0001305671,0.0001595019,0.0007380516,0.9969106,0.00001779499],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003070525,0.0000228723,0.00004485941,0.0000284202,0.00001122226,0.000005362692,0.9988459,0.0004214942,0.0005890125],"genre_scores_gemma":[0.0001357776,0.00003546815,0.0002375072,0.00004277447,0.000003910894,0.00005395389,0.9987682,0.0002260132,0.0004963985],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7784326,"threshold_uncertainty_score":0.7412169,"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."}}