{"id":"W6924639255","doi":"10.15468/dl.vrwvak","title":"Occurrence Download","year":2023,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"E-Learning and Knowledge Management","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":[],"category_scores_codex":[0.00047755,0.0002644706,0.0002384848,0.0001597573,0.0003393563,0.0004524309,0.001821229,0.0002276379,0.0001086454],"category_scores_gemma":[0.0001743134,0.0002736475,0.0001427282,0.0007717123,0.0001267725,0.001211589,0.001792019,0.0003070559,0.734457],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002714702,"about_ca_system_score_gemma":0.000111974,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005787984,"about_ca_topic_score_gemma":0.0000263964,"domain_scores_codex":[0.998314,0.00008566949,0.000343434,0.0003348713,0.000570223,0.0003518621],"domain_scores_gemma":[0.9984162,0.00002960941,0.000260432,0.0009167638,0.0002262473,0.0001507499],"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":[0.000004750766,0.00002141829,0.0001271625,0.0001405684,0.00002571299,0.000004665768,0.00005695712,0.00002606862,2.367641e-9,0.000003074281,0.9942252,0.005364391],"study_design_scores_gemma":[0.0001923954,0.00003366291,0.00007613377,0.000004292705,0.00001888066,0.000001654162,0.00008271652,0.000007716257,4.009413e-7,0.000003466555,0.9993002,0.0002785033],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00001192432,0.00001186441,0.000478246,0.0004196987,0.001452634,0.0002194318,0.9965268,0.0004889503,0.0003903901],"genre_scores_gemma":[0.00000247749,0.00005244583,0.00001190523,0.0003182192,0.000001896585,0.00000429889,0.9996072,1.2588e-8,0.000001557745],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7343484,"threshold_uncertainty_score":0.9999716,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01871684190617535,"score_gpt":0.2248312804511297,"score_spread":0.2061144385449543,"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."}}