{"id":"W6961923214","doi":"10.15468/dl.qg586z","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); State (computer science); 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":[0.0008392736,0.002153209,0.001683402,0.00491238,0.001004345,0.002571667,0.002907135,0.002264844,0.1270374],"category_scores_gemma":[0.005425945,0.0008724075,0.001238603,0.009176557,0.0004581439,0.002092679,0.002423489,0.00199912,0.193446],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001686841,"about_ca_system_score_gemma":0.002231112,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01999892,"about_ca_topic_score_gemma":0.03294067,"domain_scores_codex":[0.9990976,0.0001254427,0.0001198604,0.0003311048,0.0001832847,0.0001428208],"domain_scores_gemma":[0.9980068,0.0006016782,0.0001924016,0.000497418,0.0004708801,0.0002309445],"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":[0.00004041618,0.00001479487,0.0005118204,0.0007277137,0.00002128092,0.00002182205,0.00002913635,0.00019287,0.0001550535,0.0004136151,0.9961635,0.001708066],"study_design_scores_gemma":[0.0000963468,0.00001028323,0.002072111,0.0002173827,0.00001903048,0.00004749436,0.00007970788,0.0002388965,0.0002069795,0.0008779673,0.996115,0.00001879195],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005407597,0.00003630717,0.00004523118,0.00003777257,0.00001235265,0.000005466669,0.9988556,0.0004006504,0.0005525259],"genre_scores_gemma":[0.000181676,0.00003884509,0.0002016994,0.00004433524,0.000003308533,0.00004015127,0.9989569,0.0001332056,0.0003998097],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8729626,"threshold_uncertainty_score":0.4249825,"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."}}