{"id":"W6905887032","doi":"10.15468/dl.xggt4u","title":"Occurrence Download","year":2017,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Data set; Species name","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":[0.000629949,0.0005863034,0.0005483946,0.000177034,0.001101713,0.0006844396,0.002052179,0.0007257713,0.002603949],"category_scores_gemma":[0.0007500839,0.0006273832,0.0003126229,0.0002525428,0.0006121789,0.003398638,0.001050555,0.0005878089,0.9881194],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009959462,"about_ca_system_score_gemma":0.0004022997,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001565081,"about_ca_topic_score_gemma":0.00007470998,"domain_scores_codex":[0.9971529,0.0001151524,0.0006058954,0.0004132509,0.001109851,0.0006029255],"domain_scores_gemma":[0.9957229,0.00002113711,0.001223761,0.002048902,0.0006267093,0.0003565442],"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":[0.0001259562,0.0000548217,0.001740837,0.0002070907,0.00006667287,0.000006083037,0.00003073076,0.00000461906,4.225514e-8,2.570038e-8,0.9969275,0.0008356357],"study_design_scores_gemma":[0.0006516945,0.00003511582,0.0003395448,0.000005524455,0.0001318169,0.0000109193,0.00006025552,8.742212e-8,0.000001891864,7.98019e-7,0.9981526,0.0006097719],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002740705,0.00001955243,8.041118e-7,0.00007513235,0.001068351,0.0005712002,0.9972485,0.0002668363,0.0004755032],"genre_scores_gemma":[0.00001257117,0.00003498443,0.000001055783,0.000248235,0.000002534979,0.000005695988,0.9996948,2.274337e-8,1.263422e-7],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9855155,"threshold_uncertainty_score":0.9996178,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02387106755018206,"score_gpt":0.2528130017232275,"score_spread":0.2289419341730454,"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."}}