{"id":"W6905762811","doi":"10.15468/dl.r45zbc","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); State (computer science); Confidentiality","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":[0.0009698965,0.00197465,0.001488878,0.004990266,0.00101834,0.002492846,0.002817634,0.002127377,0.1445232],"category_scores_gemma":[0.005859658,0.000880842,0.001168496,0.009550531,0.0004596462,0.002455569,0.002510777,0.002065041,0.2088603],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001534284,"about_ca_system_score_gemma":0.00224405,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02023399,"about_ca_topic_score_gemma":0.03597297,"domain_scores_codex":[0.9989194,0.00016128,0.000135556,0.0003858667,0.0002260354,0.0001719844],"domain_scores_gemma":[0.9974151,0.0007331091,0.0002404761,0.000704213,0.0006187325,0.0002883623],"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":[0.00002616221,0.00001222533,0.0003793201,0.0004751693,0.00001338389,0.00001432055,0.00002313241,0.0001239014,0.00009763156,0.0003584333,0.9971502,0.001326061],"study_design_scores_gemma":[0.00006776572,0.000008405666,0.001761959,0.0001792804,0.00001308936,0.00003897497,0.00008116879,0.0001680178,0.0001704313,0.0008020001,0.9966915,0.00001744053],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004807091,0.00002898319,0.0000473787,0.00004032257,0.00001372991,0.000005637616,0.9987941,0.0003684715,0.0006532923],"genre_scores_gemma":[0.0001680059,0.00003232066,0.0002050853,0.00004637874,0.000003812361,0.00004151155,0.9989104,0.000124423,0.0004680604],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8554767,"threshold_uncertainty_score":0.4834784,"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."}}