{"id":"W6905923978","doi":"10.15468/dl.q4uqkt","title":"Occurrence Download","year":2022,"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); Alien; Range (aeronautics)","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":[0.000990439,0.002010332,0.001611621,0.004743912,0.0010113,0.002631841,0.002839119,0.002224864,0.166593],"category_scores_gemma":[0.006414039,0.0009100487,0.001283181,0.008825775,0.0004418594,0.00238555,0.002508738,0.001994022,0.2281358],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00159165,"about_ca_system_score_gemma":0.002272053,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0212708,"about_ca_topic_score_gemma":0.03350173,"domain_scores_codex":[0.9990116,0.0001384256,0.0001185403,0.0003514596,0.0002154704,0.0001644856],"domain_scores_gemma":[0.9974485,0.0007998752,0.0002123472,0.0006417424,0.000622558,0.0002749335],"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":[0.00002729192,0.00001190784,0.000382268,0.0005380449,0.00001367575,0.00001500215,0.00002132406,0.0001213539,0.0001076074,0.0003245661,0.9970583,0.001378816],"study_design_scores_gemma":[0.00007896383,0.000009853414,0.001967767,0.0002223259,0.00001552802,0.00003814438,0.00007821965,0.0001940488,0.0002001028,0.0008179377,0.9963582,0.00001886626],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004530149,0.00003011678,0.00004517233,0.00004204349,0.00001328493,0.000006117615,0.9987563,0.0004297795,0.0006319163],"genre_scores_gemma":[0.0001809385,0.00003689588,0.0002045279,0.00005437911,0.000004307462,0.00005147917,0.998803,0.0001608963,0.0005035771],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.833407,"threshold_uncertainty_score":0.557309,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01850871640220096,"score_gpt":0.2277224731265546,"score_spread":0.2092137567243537,"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."}}