{"id":"W6943586370","doi":"10.15468/dl.n3qaaa","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); Range (aeronautics); Alien; The Internet","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":[0.0009822068,0.001935094,0.001538047,0.004460323,0.001038817,0.002539534,0.002734944,0.002137699,0.1587128],"category_scores_gemma":[0.006041274,0.0009221459,0.001274524,0.008567236,0.000460681,0.002500942,0.002634377,0.002064689,0.2205681],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00152941,"about_ca_system_score_gemma":0.002285905,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0214897,"about_ca_topic_score_gemma":0.03623756,"domain_scores_codex":[0.9989797,0.0001452068,0.0001222746,0.0003685104,0.0002194981,0.0001646784],"domain_scores_gemma":[0.9973775,0.0007679654,0.0002203338,0.0007264761,0.0006105105,0.0002971854],"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":[0.0000262428,0.00001148516,0.0003439182,0.0004590229,0.00001243043,0.00001390758,0.00002230075,0.0001154469,0.0001010481,0.0003318658,0.9972702,0.001292054],"study_design_scores_gemma":[0.0000743136,0.000009333214,0.001914505,0.0001881215,0.00001351451,0.00003825322,0.00008020012,0.0001745794,0.0001914347,0.0008158453,0.9964814,0.00001839324],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004971048,0.00002873767,0.00005178269,0.0000477912,0.00001568515,0.000006674425,0.9986014,0.0004969595,0.0007012866],"genre_scores_gemma":[0.0001768603,0.0000342657,0.000223216,0.00005575144,0.000004192087,0.0000482935,0.9987733,0.0001725579,0.0005115393],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8412873,"threshold_uncertainty_score":0.5309471,"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."}}