{"id":"W6886848166","doi":"10.15468/dl.7848c8","title":"Occurrence Download","year":2024,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001074273,0.002014364,0.001659456,0.005854993,0.0009858477,0.002757306,0.002806735,0.001959577,0.1759141],"category_scores_gemma":[0.006388956,0.0009255754,0.001210005,0.01143952,0.0004625641,0.00235025,0.002787899,0.001938017,0.2519084],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001648049,"about_ca_system_score_gemma":0.002604794,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02291047,"about_ca_topic_score_gemma":0.03781399,"domain_scores_codex":[0.9988093,0.0001594741,0.0001598258,0.0003932156,0.0002760742,0.0002020446],"domain_scores_gemma":[0.9972139,0.0007179548,0.0002714283,0.0007288862,0.000737317,0.0003305969],"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":[0.0000301257,0.000009651967,0.0003331139,0.0005533158,0.00001506908,0.00001278462,0.00002056508,0.0001044925,0.0001134803,0.0003610375,0.9970059,0.001440474],"study_design_scores_gemma":[0.00005934951,0.000006986159,0.001574254,0.0001849239,0.00001331472,0.00003020493,0.00005625571,0.00009542025,0.0001602079,0.0006526616,0.9971512,0.00001521451],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003258547,0.00002690196,0.00003425731,0.00003097356,0.00001010594,0.000004665381,0.9989097,0.0003005084,0.0006502226],"genre_scores_gemma":[0.0001339249,0.00003577426,0.0001528862,0.00004442436,0.000003315905,0.00003385999,0.998989,0.0001320067,0.0004747874],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8240859,"threshold_uncertainty_score":0.5884913,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01708767307206114,"score_gpt":0.2335971948231368,"score_spread":0.2165095217510757,"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."}}