{"id":"W6962181948","doi":"10.15468/dl.xyg8jz","title":"Occurrence Download","year":2018,"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); Data set; Set (abstract data type); Range (aeronautics)","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":[0.0009088455,0.002042671,0.001632269,0.004952286,0.001014326,0.00278108,0.00302618,0.00200476,0.1463162],"category_scores_gemma":[0.006168164,0.0008466379,0.001193606,0.009435808,0.0004461104,0.002322668,0.002645341,0.002089175,0.2156561],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001560173,"about_ca_system_score_gemma":0.002376673,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02121791,"about_ca_topic_score_gemma":0.03532296,"domain_scores_codex":[0.999007,0.0001318742,0.0001243047,0.0003477744,0.0002275114,0.0001614796],"domain_scores_gemma":[0.997724,0.0006447585,0.00020323,0.0005944194,0.0005577762,0.0002757606],"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":[0.00002971208,0.00001144745,0.0004028731,0.000506249,0.00001563909,0.00001659308,0.00002553249,0.0001384247,0.00009734488,0.0003840391,0.9968664,0.001505654],"study_design_scores_gemma":[0.0000676935,0.000007581093,0.001663435,0.0001882498,0.00001463341,0.00003910924,0.00007336409,0.0001930598,0.0001740858,0.0008236862,0.996739,0.00001608883],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004942697,0.00003528493,0.00005345731,0.00004261269,0.00001350204,0.000005489958,0.9986047,0.0005264535,0.0006690118],"genre_scores_gemma":[0.000161778,0.00003670678,0.0001951579,0.00004105428,0.000003326952,0.0000356185,0.9988934,0.0001644709,0.0004684702],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8536838,"threshold_uncertainty_score":0.4894766,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01844945409409636,"score_gpt":0.2068730243920438,"score_spread":0.1884235702979475,"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."}}