{"id":"W6962084300","doi":"10.15468/dl.pf6b8a","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); 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":[0.001048629,0.002023117,0.001668193,0.005227332,0.0009813921,0.002648663,0.002801154,0.002102274,0.1660233],"category_scores_gemma":[0.006389907,0.0009281721,0.001178685,0.01013656,0.0004489021,0.002294795,0.002529079,0.001969112,0.2241842],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001527849,"about_ca_system_score_gemma":0.002323811,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02052685,"about_ca_topic_score_gemma":0.03413903,"domain_scores_codex":[0.998902,0.0001543582,0.0001423838,0.0003873259,0.0002354142,0.0001785529],"domain_scores_gemma":[0.9973844,0.0007779609,0.0002491562,0.000662817,0.000617987,0.0003075601],"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":[0.00003066926,0.00001162248,0.0003875341,0.0005767703,0.00001597151,0.00001569006,0.00002299077,0.0001253367,0.0001141935,0.0003654578,0.9970199,0.001313844],"study_design_scores_gemma":[0.00008031703,0.000008765172,0.001953133,0.0002065067,0.00001608546,0.00003856988,0.00007092435,0.0001451676,0.0001854003,0.0008030007,0.9964733,0.0000188794],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000388118,0.00002641757,0.00004072313,0.00003157174,0.00001040981,0.000004928474,0.998958,0.0003214356,0.0005676849],"genre_scores_gemma":[0.0001599162,0.00003296695,0.0001789496,0.00004497881,0.000003424287,0.0000430176,0.9989443,0.0001400632,0.0004523037],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8339767,"threshold_uncertainty_score":0.5554034,"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."}}