{"id":"W6943257696","doi":"10.15468/dl.qco2ha","title":"Occurrence Download","year":2018,"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); Data set; Confidentiality","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":[0.001012073,0.001954164,0.001614252,0.005640769,0.000983461,0.002630487,0.00299794,0.001938549,0.1464077],"category_scores_gemma":[0.006244971,0.0008697149,0.001207549,0.01133089,0.0004431697,0.00214295,0.002593031,0.001975897,0.2048759],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001635312,"about_ca_system_score_gemma":0.002634503,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02507995,"about_ca_topic_score_gemma":0.04153343,"domain_scores_codex":[0.9988912,0.0001374827,0.0001474877,0.0003766997,0.0002536051,0.0001935363],"domain_scores_gemma":[0.9974929,0.0006541171,0.000251223,0.0006560844,0.0006470762,0.0002984952],"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":[0.00002946501,0.00001096489,0.0004122088,0.0005303333,0.00001742585,0.00001583703,0.00002407501,0.0001226576,0.0001156621,0.0003875166,0.9969779,0.001355844],"study_design_scores_gemma":[0.0000722641,0.000007516101,0.002070654,0.0001944835,0.0000162454,0.00003919123,0.00006972779,0.0001357756,0.0001886718,0.0006995695,0.9964889,0.00001707082],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003896864,0.00002576183,0.00003869246,0.00003019634,0.00001072316,0.000004621776,0.998974,0.0003215591,0.0005554532],"genre_scores_gemma":[0.0001387378,0.00002862454,0.0001532963,0.00003311975,0.000003002902,0.00003154831,0.9991282,0.0001135594,0.0003699682],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8535923,"threshold_uncertainty_score":0.4897825,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01881883250631837,"score_gpt":0.2330296220854826,"score_spread":0.2142107895791642,"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."}}