{"id":"W6924524791","doi":"10.15468/dl.xmmdc4","title":"Occurrence Download","year":2022,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Information Science and Libraries","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Data set","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":[0.000526723,0.0002685199,0.0002453427,0.0001965508,0.0008843811,0.0009268062,0.002891707,0.000184996,0.02189141],"category_scores_gemma":[0.0001144427,0.0002716993,0.0001550633,0.001046069,0.000172221,0.01033638,0.001918172,0.0003687784,0.1023236],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002822792,"about_ca_system_score_gemma":0.0004544233,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001694605,"about_ca_topic_score_gemma":0.000002344652,"domain_scores_codex":[0.9976539,0.00008450947,0.0005121329,0.0002742136,0.001094986,0.0003802488],"domain_scores_gemma":[0.9981594,0.00002999233,0.0004530872,0.0009852409,0.0002011373,0.000171109],"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":[0.000007687623,0.00001727466,0.00008422545,0.0000439563,0.000009177707,0.000001879538,0.0002113659,0.00003371173,4.693001e-9,0.00001198963,0.9973242,0.002254549],"study_design_scores_gemma":[0.0001812595,0.00003897994,0.0000245134,6.134105e-7,0.000007766435,0.00001060361,0.0001883244,0.000003141155,0.000001707429,0.000006383743,0.9992326,0.0003040606],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002154863,0.00001147174,0.0004491743,0.0004888175,0.001220796,0.0002466913,0.9969027,0.0002074908,0.0004513174],"genre_scores_gemma":[0.0000025142,0.00003074534,0.00001584853,0.002450668,9.322868e-7,0.000008198969,0.9974908,6.219821e-9,2.387464e-7],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08043215,"threshold_uncertainty_score":0.9999735,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0179616280583832,"score_gpt":0.2151989911516074,"score_spread":0.1972373630932242,"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."}}