{"id":"W7083312897","doi":"10.15468/dl.9ur9re","title":"Occurrence Download","year":2025,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Research, Science, and Academia","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Data set; Set (abstract data type)","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","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.003796071,0.0003315305,0.0004865443,0.0004854827,0.0007600719,0.001119777,0.004072839,0.0004764147,0.003575403],"category_scores_gemma":[0.006495947,0.0002642257,0.0002969326,0.002468312,0.0006545513,0.002811072,0.001507801,0.0007256473,0.1697119],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003713444,"about_ca_system_score_gemma":0.0008164921,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005813356,"about_ca_topic_score_gemma":0.00002531686,"domain_scores_codex":[0.9936694,0.0002791134,0.001018393,0.0006011258,0.003853916,0.0005780476],"domain_scores_gemma":[0.996274,0.0003413844,0.0005573643,0.001343314,0.001119007,0.0003649535],"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":[0.00003600087,0.0000207197,0.002151826,0.00003765014,0.00001037755,0.000002078941,0.00003749681,0.00001393012,3.597969e-8,6.018288e-7,0.9883636,0.009325648],"study_design_scores_gemma":[0.0002354352,0.00002280248,0.0002797073,0.000003780347,0.00001523447,0.000002191402,0.0003547576,0.000001288297,0.000002875757,0.00003545247,0.9987919,0.000254533],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000276912,0.00003258801,0.0000269234,0.0007634875,0.001090088,0.0003642029,0.9957507,0.00005616691,0.001638922],"genre_scores_gemma":[0.0000220078,0.0001094434,0.000002299397,0.001029288,0.000002799634,0.000003485042,0.9988241,5.352222e-9,0.000006539521],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1661365,"threshold_uncertainty_score":0.999981,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06130469671725736,"score_gpt":0.3451450649595874,"score_spread":0.28384036824233,"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."}}