{"id":"W6961557267","doi":"10.15468/dl.rm2d7h","title":"Occurrence Download","year":2022,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Wheat and Barley Genetics and Pathology","field":"Agricultural and Biological Sciences","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":[0.0009704378,0.002220422,0.001617273,0.004640811,0.001074992,0.00254085,0.003127827,0.002363769,0.1324843],"category_scores_gemma":[0.005263348,0.0008998784,0.001186851,0.008594366,0.0004857976,0.002303595,0.002531016,0.002239127,0.1995989],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001707008,"about_ca_system_score_gemma":0.002287328,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02051267,"about_ca_topic_score_gemma":0.03876304,"domain_scores_codex":[0.9989864,0.0001446638,0.0001167302,0.0003711551,0.0002201711,0.0001608388],"domain_scores_gemma":[0.9977872,0.00063801,0.0002029548,0.0005817097,0.0005160058,0.0002741381],"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":[0.00003230937,0.00001474782,0.0003820411,0.0004723252,0.00001455066,0.00001735923,0.00002438978,0.0001554707,0.0001183545,0.0003901091,0.9970493,0.001329196],"study_design_scores_gemma":[0.00008373218,0.00000901693,0.001756151,0.0001614054,0.0000132446,0.0000428912,0.00007430389,0.000219775,0.0001978016,0.0008810411,0.9965422,0.00001858513],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005569124,0.00002989718,0.00005369916,0.00004044142,0.00001279673,0.000005852854,0.998661,0.0004637362,0.0006768719],"genre_scores_gemma":[0.0001644369,0.00002870132,0.0002168837,0.00004177184,0.00000312873,0.00003783411,0.9989242,0.0001457052,0.0004373844],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8675157,"threshold_uncertainty_score":0.4432043,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01823904541441331,"score_gpt":0.2025481587490174,"score_spread":0.1843091133346041,"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."}}