{"id":"W6906068364","doi":"10.15468/dl.xmpd8r","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); Alien; 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":[0.001016086,0.00201648,0.001584199,0.004815597,0.001033741,0.002650295,0.002821886,0.002211765,0.1700391],"category_scores_gemma":[0.006575454,0.0009267468,0.00131562,0.008954641,0.0004562,0.002388642,0.002604091,0.002045813,0.2297821],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001591902,"about_ca_system_score_gemma":0.002386446,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02275032,"about_ca_topic_score_gemma":0.03557819,"domain_scores_codex":[0.9989579,0.0001499287,0.0001279506,0.0003767955,0.0002169235,0.0001705249],"domain_scores_gemma":[0.9973431,0.0008411651,0.0002179993,0.000673915,0.0006349778,0.0002887959],"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":[0.00002781029,0.00001186122,0.0003753204,0.0005224458,0.00001411387,0.00001490747,0.00002218865,0.0001177442,0.0001041433,0.0003235826,0.9971634,0.001302441],"study_design_scores_gemma":[0.00008505017,0.00001053986,0.002050974,0.0002267386,0.00001664408,0.00004058548,0.00008836273,0.0001911043,0.0001953006,0.0008397321,0.9962348,0.00002014284],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004224757,0.00002766344,0.00004344639,0.0000432723,0.0000138798,0.000006069791,0.9988331,0.0004002244,0.0005901145],"genre_scores_gemma":[0.0001706586,0.00003521501,0.0002012246,0.00005499643,0.000004184847,0.00004888108,0.9988416,0.0001534411,0.0004897799],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8299609,"threshold_uncertainty_score":0.5688375,"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."}}