{"id":"W6962051829","doi":"10.15468/dl.vep6j2","title":"Occurrence Download","year":2019,"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); 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":[0.0009457141,0.001761018,0.001603556,0.006094275,0.00109487,0.0029328,0.002644208,0.002108915,0.1476932],"category_scores_gemma":[0.006836033,0.0008571359,0.001382466,0.01073009,0.0004212075,0.002624556,0.002708809,0.002041058,0.1990561],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001509385,"about_ca_system_score_gemma":0.002551375,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0179529,"about_ca_topic_score_gemma":0.02968318,"domain_scores_codex":[0.9988188,0.000152255,0.0001741796,0.000421029,0.0002410497,0.0001927068],"domain_scores_gemma":[0.9971294,0.0008527015,0.000276321,0.0007098714,0.0007373839,0.0002943813],"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":[0.00004773718,0.00001503685,0.0006892518,0.000914097,0.00002330313,0.00002725732,0.0000356223,0.000171085,0.0001926744,0.0005803274,0.9947008,0.002602842],"study_design_scores_gemma":[0.00005770621,0.000008452969,0.001871346,0.0002495557,0.00001623058,0.00004335565,0.00008268555,0.0001677985,0.0001905398,0.0007987195,0.9964971,0.00001660321],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006123227,0.00004289812,0.00006354192,0.00004841207,0.00001772282,0.00000702094,0.9985383,0.0004796952,0.0007412109],"genre_scores_gemma":[0.0002051974,0.00005725209,0.0002705813,0.00006366111,0.000005087007,0.00005006247,0.9986077,0.0001718171,0.0005686639],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8523068,"threshold_uncertainty_score":0.4940831,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02204858629931456,"score_gpt":0.2092061667689169,"score_spread":0.1871575804696023,"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."}}