{"id":"W6961836126","doi":"10.15468/dl.gbvjka","title":"Occurrence Download","year":2025,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Advanced Electron Microscopy Techniques and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Matching (statistics); Range (aeronautics); Set (abstract data type); Identification (biology); Download","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":[0.00007736855,0.0002077556,0.0001491678,0.00003709759,0.0001896461,0.00004610551,0.0004166671,0.0003511682,0.0001210947],"category_scores_gemma":[0.00005017814,0.0002274116,0.0001110693,0.0001682554,0.0001045168,0.00001698424,0.0003175985,0.0001597932,0.002355482],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000894156,"about_ca_system_score_gemma":0.0001731999,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006639904,"about_ca_topic_score_gemma":0.000008472617,"domain_scores_codex":[0.9991651,0.0000213188,0.0002311248,0.0002392028,0.0001270765,0.0002162238],"domain_scores_gemma":[0.9990399,0.000002803449,0.0001580238,0.0005613852,0.0001706483,0.000067199],"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":[0.00003202758,0.00002394007,0.00007233239,0.00005626145,0.00001893195,1.243834e-7,0.000001351791,0.000005668828,0.00003898556,2.174916e-7,0.9988043,0.0009458178],"study_design_scores_gemma":[0.0001420315,0.00004830473,0.000004226082,0.000001797792,0.00002518406,0.000001864995,0.00001129937,2.445761e-8,0.00121467,0.000001408682,0.9983455,0.0002037195],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001613092,0.00006612405,0.0004609375,0.00008989618,0.00009841625,0.0003040455,0.9986649,0.0000369687,0.0001173875],"genre_scores_gemma":[0.000008110545,0.000416327,0.0000202696,0.0006883133,0.000001866017,0.00001557813,0.9988484,1.010301e-8,0.000001122367],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.002234387,"threshold_uncertainty_score":0.9984213,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0060100040949734,"score_gpt":0.2649960407654477,"score_spread":0.2589860366704744,"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."}}