{"id":"W6905837753","doi":"10.15468/dl.q928d5","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); Information system","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":[0.00114952,0.00191864,0.001640099,0.00541551,0.001046082,0.002798459,0.002952957,0.002077413,0.1708889],"category_scores_gemma":[0.006823448,0.0009632733,0.001171681,0.01030174,0.0004675435,0.002464118,0.002668823,0.002052983,0.2355979],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001610837,"about_ca_system_score_gemma":0.002414592,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02148337,"about_ca_topic_score_gemma":0.03533046,"domain_scores_codex":[0.9988238,0.0001596724,0.0001564528,0.000414339,0.0002609393,0.0001848102],"domain_scores_gemma":[0.9971759,0.0008309726,0.0002611078,0.0007302786,0.0006852969,0.0003163528],"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":[0.0000270305,0.00001009085,0.0003538566,0.0005136623,0.00001454851,0.00001429826,0.00002430353,0.0001075999,0.0001104598,0.0003839374,0.9971352,0.001305133],"study_design_scores_gemma":[0.00006386587,0.000007122731,0.001691059,0.0001906914,0.00001423663,0.00003645553,0.00007308738,0.0001347032,0.0001733421,0.0007629335,0.9968354,0.0000170865],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003571854,0.00002466118,0.00004576643,0.00003402506,0.00001117211,0.000004712894,0.9988667,0.0003591214,0.0006183019],"genre_scores_gemma":[0.000142756,0.00003160619,0.0001921008,0.00004201395,0.000003232142,0.00003820186,0.998944,0.0001589564,0.0004471197],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8291112,"threshold_uncertainty_score":0.5716802,"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."}}