{"id":"W6960883022","doi":"10.1371/journal.pclm.0000324.t001","title":"The five largest three-day and four-day precipitation events from forts in western Washington and comparator GHCN-Daily stations.","year":2023,"lang":"en","type":"dataset","venue":"Figshare","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":"Precipitation; Event (particle physics); Information center; Hydrology (agriculture); Comparator; Center (category theory)","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":[],"consensus_categories":[],"category_scores_codex":[0.0005154646,0.0009794184,0.000666809,0.002912162,0.0006270126,0.0009828513,0.001143843,0.0006403399,0.03144064],"category_scores_gemma":[0.002129771,0.0004169355,0.0004900731,0.006874076,0.0002115081,0.000605625,0.0008538634,0.0009809233,0.03133434],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008858986,"about_ca_system_score_gemma":0.001561235,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0764759,"about_ca_topic_score_gemma":0.1576701,"domain_scores_codex":[0.999631,0.00005555258,0.00004922657,0.0001386079,0.00006578153,0.00005976542],"domain_scores_gemma":[0.9989898,0.000181021,0.0001667558,0.0001879777,0.0003815312,0.00009295432],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0001023581,0.00002406287,0.006147599,0.0007001632,0.00005426955,0.00004291381,0.00005222074,0.0004337738,0.0002026342,0.0004680249,0.9883434,0.003428602],"study_design_scores_gemma":[0.0001719242,0.00001481514,0.04161844,0.0005064161,0.00004426517,0.00005071074,0.000316112,0.0003528762,0.0004367016,0.0005032434,0.9559574,0.00002718913],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0005530508,0.00003171873,0.00003812213,0.00002213123,0.00001908739,0.000006616217,0.9983224,0.0000558209,0.0009510277],"genre_scores_gemma":[0.001423859,0.00004099373,0.0001841172,0.00001661566,0.000005622032,0.00003319808,0.9972063,0.00002817184,0.001061051],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0764759,"threshold_uncertainty_score":0.1520616,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04695045656959934,"score_gpt":0.2594049377580257,"score_spread":0.2124544811884264,"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."}}