{"id":"W6962651428","doi":"10.15468/dl.v2hzyh","title":"Occurrence Download","year":2024,"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); Order (exchange); 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009176876,0.001917206,0.001582576,0.005316107,0.0009862318,0.002473888,0.002877136,0.001907567,0.1563842],"category_scores_gemma":[0.005752872,0.0008882674,0.00117574,0.01050411,0.0004445291,0.00210664,0.002558846,0.001848356,0.2085869],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001710146,"about_ca_system_score_gemma":0.002779097,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03031339,"about_ca_topic_score_gemma":0.05048095,"domain_scores_codex":[0.9989476,0.0001295906,0.0001330678,0.0003603291,0.0002457238,0.0001838304],"domain_scores_gemma":[0.997519,0.0006455799,0.0002291485,0.0006555893,0.0006514019,0.0002992849],"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":[0.00003022721,0.000009913498,0.0003909727,0.0005567031,0.00001760916,0.0000156557,0.00002244392,0.000130356,0.0001412145,0.0003731319,0.9968587,0.001453023],"study_design_scores_gemma":[0.00006649239,0.000007428001,0.002018959,0.000179901,0.00001616367,0.00003747319,0.00006562209,0.0001340356,0.0002153086,0.0006992204,0.9965417,0.00001778852],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003964657,0.00002680335,0.00003948473,0.000029791,0.00001015416,0.00000464257,0.9988758,0.0003807539,0.0005928951],"genre_scores_gemma":[0.0001492352,0.00003151775,0.0001664895,0.00003574482,0.000002824329,0.00003131785,0.9990622,0.0001311465,0.0003894734],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1563842,"threshold_uncertainty_score":0.5231572,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01708767307206114,"score_gpt":0.2335971948231368,"score_spread":0.2165095217510757,"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."}}