{"id":"W6905981284","doi":"10.15468/dl.xwzpab","title":"Occurrence Download","year":2020,"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); Data collection; Range (aeronautics)","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":[0.001074676,0.001971874,0.001503951,0.005612777,0.0008625465,0.002444655,0.002729482,0.001914156,0.1774843],"category_scores_gemma":[0.005932815,0.0009467779,0.001195521,0.01007753,0.0004204545,0.002348403,0.002698688,0.001842604,0.238411],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00153112,"about_ca_system_score_gemma":0.00234946,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02078259,"about_ca_topic_score_gemma":0.03357691,"domain_scores_codex":[0.9989439,0.0001363931,0.0001353767,0.0003594214,0.0002427927,0.0001821582],"domain_scores_gemma":[0.9974054,0.0006635232,0.0002443868,0.0006767403,0.000674648,0.0003353742],"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":[0.00002881621,0.000009706861,0.0003098897,0.0004874493,0.00001448108,0.00001282937,0.00001851292,0.0001092071,0.0001160519,0.0003374231,0.9970949,0.00146067],"study_design_scores_gemma":[0.00006571601,0.000008095145,0.001826491,0.0001768548,0.00001353546,0.00003512724,0.00005551254,0.0001252567,0.0001843304,0.0007124505,0.9967799,0.00001693096],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003503869,0.00002514191,0.00003937501,0.00003162248,0.00001157284,0.00000508913,0.9988376,0.0003945891,0.0006199058],"genre_scores_gemma":[0.0001416666,0.00003261604,0.0001824663,0.00004521914,0.000003715302,0.00003515476,0.9989746,0.0001544217,0.0004302126],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8225157,"threshold_uncertainty_score":0.593744,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02101450523743655,"score_gpt":0.226568981422551,"score_spread":0.2055544761851144,"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."}}