{"id":"W6943582691","doi":"10.15468/dl.zexa4m","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; Extant taxon; Natural history; Matching (statistics); Natural (archaeology); History of science","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":[0.001125912,0.002155834,0.001874787,0.006570067,0.001180108,0.00318874,0.003100587,0.002081909,0.2149318],"category_scores_gemma":[0.007569271,0.001131009,0.00150255,0.0126061,0.0004623549,0.003082181,0.003058814,0.002041022,0.2987224],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001731268,"about_ca_system_score_gemma":0.002464538,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02129327,"about_ca_topic_score_gemma":0.03304138,"domain_scores_codex":[0.9987001,0.0001559909,0.0001818817,0.0004737983,0.0002801046,0.000208031],"domain_scores_gemma":[0.9968811,0.000875701,0.0002663513,0.0008212934,0.0008485116,0.0003071377],"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":[0.0000325684,0.000009570372,0.0003836253,0.0006495093,0.00001563721,0.00001542623,0.00002594757,0.0001034346,0.0001165319,0.0003532764,0.9964478,0.001846677],"study_design_scores_gemma":[0.00006030419,0.000007593527,0.001589868,0.0001948857,0.00001404454,0.00003423009,0.00007682807,0.0001217549,0.0001716911,0.0006943377,0.997017,0.00001750806],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003228775,0.00002424304,0.00004904151,0.00002864188,0.00001142596,0.000005514492,0.9987587,0.0004561798,0.0006339604],"genre_scores_gemma":[0.0001399371,0.00003693234,0.0002485449,0.00004250071,0.000004005697,0.00005226679,0.9987217,0.000234022,0.0005200643],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7850682,"threshold_uncertainty_score":0.7190186,"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."}}