{"id":"W6943417252","doi":"10.15468/dl.zhnpvb","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":[0.001141041,0.001947554,0.00170822,0.005396535,0.001034854,0.002881719,0.002995193,0.00200757,0.1790022],"category_scores_gemma":[0.006834149,0.001017524,0.001189219,0.0109771,0.0004650468,0.002447607,0.002758601,0.002080212,0.2381003],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001567121,"about_ca_system_score_gemma":0.002407874,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02047607,"about_ca_topic_score_gemma":0.03321461,"domain_scores_codex":[0.9988312,0.0001591915,0.0001547628,0.0004102587,0.0002601967,0.000184439],"domain_scores_gemma":[0.9971768,0.0008275763,0.000263739,0.0007448631,0.0006739996,0.0003130404],"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":[0.00002677994,0.00001010541,0.0003379998,0.0005440767,0.0000150425,0.00001364242,0.00002436149,0.0001110934,0.00010139,0.0003887762,0.9971122,0.001314484],"study_design_scores_gemma":[0.0000667827,0.000006870108,0.001624858,0.0001924196,0.00001430253,0.0000334007,0.00007167281,0.0001242387,0.0001653145,0.0007843961,0.9968985,0.0000172925],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003418188,0.00002412022,0.00004568849,0.00003243274,0.00001108992,0.000004762334,0.9988921,0.0003512554,0.000604249],"genre_scores_gemma":[0.0001496454,0.00003409168,0.000198118,0.00004378656,0.0000033873,0.00004307377,0.9988732,0.0001796708,0.0004749096],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8209978,"threshold_uncertainty_score":0.5988221,"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."}}