{"id":"W6924639884","doi":"10.15468/dl.k8vg72","title":"Occurrence Download","year":2023,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Transportation Systems and Safety","field":"Computer Science","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":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000874124,0.002055473,0.001516748,0.004498982,0.001029979,0.002296459,0.002907382,0.002303946,0.1093455],"category_scores_gemma":[0.005116981,0.0008665526,0.001293782,0.008705436,0.0004621007,0.002071623,0.002358024,0.00209289,0.1744876],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001683758,"about_ca_system_score_gemma":0.002288089,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02404211,"about_ca_topic_score_gemma":0.04138885,"domain_scores_codex":[0.9990477,0.0001306911,0.0001265108,0.0003236296,0.0002212019,0.0001503569],"domain_scores_gemma":[0.9980282,0.0005334331,0.0001797532,0.0005307606,0.0005022458,0.0002255728],"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":[0.00003112139,0.00001450797,0.0004391614,0.0005256455,0.00001589176,0.00001883824,0.00002654412,0.0001658549,0.0001260522,0.0003747246,0.9967379,0.001523759],"study_design_scores_gemma":[0.00008264557,0.000009412942,0.002140255,0.0001950936,0.00001567999,0.00004920744,0.00008558537,0.0002424118,0.0002153665,0.0007392993,0.9962062,0.00001887747],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006380486,0.00003602081,0.00005391273,0.00004331774,0.00001416877,0.000006881993,0.9986621,0.0004545818,0.0006651086],"genre_scores_gemma":[0.0001777955,0.00003376033,0.000219966,0.00004284577,0.000003234401,0.00004190589,0.9989704,0.0001156643,0.0003945326],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8906544,"threshold_uncertainty_score":0.3657972,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01845240144191717,"score_gpt":0.2196332272845841,"score_spread":0.2011808258426669,"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."}}