{"id":"W6924758658","doi":"10.15468/dl.w4mqm5","title":"Occurrence Download","year":2022,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Alien; The Internet","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003203534,0.000230214,0.0002198042,0.0001329714,0.0004439331,0.0004543273,0.002074061,0.0001475861,0.01958163],"category_scores_gemma":[0.0001178802,0.0002512399,0.0001256302,0.0007686452,0.00007825476,0.002164875,0.001765453,0.0002636712,0.07176742],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003043273,"about_ca_system_score_gemma":0.0002283184,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001714905,"about_ca_topic_score_gemma":0.000004617555,"domain_scores_codex":[0.9982411,0.00009364764,0.0003775969,0.0002849378,0.0007447136,0.0002580293],"domain_scores_gemma":[0.9983836,0.0000171831,0.0003297876,0.0009270566,0.0001851352,0.0001572785],"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":[0.000004215657,0.00003813698,0.00009849676,0.00005547555,0.00001624742,0.000002788425,0.00003406721,0.00002457698,4.039991e-9,0.000006600334,0.9983674,0.001351991],"study_design_scores_gemma":[0.0001937207,0.00002890193,0.000009995538,6.9447e-7,0.00001743158,0.000005055141,0.00005166877,0.000009617061,4.869324e-7,0.000002350257,0.9994162,0.0002638717],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000003963346,0.00001043209,0.001351383,0.0002217755,0.0007299216,0.0001597851,0.9972565,0.0001620696,0.0001042153],"genre_scores_gemma":[8.982557e-7,0.00006621722,0.00000854896,0.001617687,7.213922e-7,0.000002742477,0.9983029,7.341445e-9,2.471494e-7],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05218579,"threshold_uncertainty_score":0.999994,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02001907944244022,"score_gpt":0.2472269526313814,"score_spread":0.2272078731889411,"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."}}