{"id":"W6924484489","doi":"10.15468/dl.vtw4x2","title":"Occurrence Download","year":2023,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Education and Digital Technologies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Identification (biology)","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003793362,0.0001577856,0.0001647772,0.0001173592,0.000615894,0.0003062811,0.0006689471,0.0004275705,0.0008515673],"category_scores_gemma":[0.001205175,0.000170621,0.0001037613,0.0006889654,0.000508512,0.001098713,0.0003280429,0.0002040667,0.5997555],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004180937,"about_ca_system_score_gemma":0.0004362309,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006715348,"about_ca_topic_score_gemma":0.0006425449,"domain_scores_codex":[0.9986914,0.0000576989,0.000249863,0.000161143,0.0005386823,0.0003012455],"domain_scores_gemma":[0.9990306,0.00004302588,0.0002028704,0.0003307729,0.0002560385,0.0001366486],"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":[0.000005430581,0.00001886548,0.0007612449,0.00003530563,0.00000914483,6.186274e-7,0.0002469756,5.330816e-7,1.170255e-9,0.000004895327,0.996252,0.002665005],"study_design_scores_gemma":[0.00007714593,0.00001000309,0.00009396384,0.000001518851,0.00001176341,2.138021e-7,0.005684413,4.226684e-9,2.715291e-7,0.00002242941,0.9939194,0.0001788322],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001982816,0.000005695097,4.247658e-7,0.001268621,0.001102431,0.0002499926,0.9936108,0.000594194,0.002969534],"genre_scores_gemma":[0.000009564388,0.0002457221,7.625659e-7,0.0003437486,0.000002244521,0.000005008589,0.9993911,8.494743e-9,0.000001849848],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.598904,"threshold_uncertainty_score":0.999899,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0386184249375868,"score_gpt":0.2894530270231409,"score_spread":0.2508346020855541,"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."}}