{"id":"W6924615914","doi":"10.15468/dl.nydtc2","title":"Occurrence Download","year":2022,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Computability, Logic, AI Algorithms","field":"Computer Science","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":[0.001053487,0.00208613,0.001540826,0.004640099,0.001004333,0.002612936,0.003254259,0.002208559,0.1268902],"category_scores_gemma":[0.006072636,0.0008284343,0.001162378,0.009172335,0.0004950367,0.002159478,0.002387703,0.002087822,0.1837431],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001704934,"about_ca_system_score_gemma":0.002288718,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0187901,"about_ca_topic_score_gemma":0.03360924,"domain_scores_codex":[0.9989868,0.0001440399,0.0001280592,0.0003436628,0.0002384996,0.0001589773],"domain_scores_gemma":[0.9978426,0.0006157429,0.0001822591,0.0005978884,0.0005107576,0.0002508164],"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":[0.00003057498,0.00001438674,0.0003786099,0.000520872,0.00001506861,0.00001633176,0.00002048688,0.0001656297,0.0001005626,0.0004778657,0.9968322,0.001427558],"study_design_scores_gemma":[0.00009629026,0.000009055606,0.001631443,0.0001804702,0.00001450091,0.00004811196,0.00007145238,0.0002594133,0.0002173992,0.001103866,0.9963511,0.00001673824],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006372428,0.0000392409,0.00006291716,0.00004688563,0.00001239017,0.00000715455,0.9984859,0.0005007077,0.0007811214],"genre_scores_gemma":[0.0001970959,0.00003621357,0.0002320451,0.00004709435,0.000003107124,0.00004397704,0.9989071,0.0001227093,0.0004106477],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8731098,"threshold_uncertainty_score":0.4244901,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01648800682483591,"score_gpt":0.2178908363310797,"score_spread":0.2014028295062438,"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."}}