{"id":"W7089314022","doi":"10.15468/dl.jku73v","title":"Occurrence Download","year":2025,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Markov Chains and Monte Carlo Methods","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Set (abstract data type); Data set","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"not_applicable","genre":"dataset","about_ca_system":false,"about_ca_topic":false,"confidence":"medium","status":"direct model label, unvalidated"},{"model":"gpt","categories":[],"domain":null,"study_design":"not_applicable","genre":"dataset","about_ca_system":false,"about_ca_topic":false,"confidence":"high","status":"direct model label, unvalidated"}],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006954287,0.0003625232,0.0004773667,0.0001271612,0.0002503287,0.0001259164,0.0006413081,0.0005104048,0.0003782514],"category_scores_gemma":[0.001198137,0.0003572023,0.0002669849,0.0003581811,0.0001258533,0.0004645366,0.0005337809,0.0003768807,0.0002186813],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003644689,"about_ca_system_score_gemma":0.0001969136,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002280504,"about_ca_topic_score_gemma":0.0000241677,"domain_scores_codex":[0.9982226,0.0001646927,0.0005479612,0.0002608317,0.0004778261,0.0003260142],"domain_scores_gemma":[0.9981018,0.0001369229,0.0003824639,0.0008583492,0.0003692322,0.0001512528],"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":[0.00004345091,0.00004516648,0.00006759876,0.0007835124,0.00005235906,0.000002237738,0.00003520053,5.668361e-7,1.770526e-8,0.000004015482,0.9958856,0.003080294],"study_design_scores_gemma":[0.0003497104,0.00002312829,0.000001350631,0.00001067752,0.0001204136,0.000002576861,0.0001274447,1.713577e-7,0.000003313187,0.00001274082,0.9990392,0.0003092556],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00008112963,0.0000219667,0.0001194963,0.0001259021,0.0008911324,0.000445576,0.9970942,0.0001185536,0.001102022],"genre_scores_gemma":[8.386899e-7,0.00007463923,0.0000692098,0.0004983797,0.000002046964,0.000006923018,0.9993463,9.75812e-9,0.000001716037],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.003153637,"threshold_uncertainty_score":0.999888,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03520737922633579,"score_gpt":0.2939348608728697,"score_spread":0.2587274816465339,"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."}}