{"id":"W4399650226","doi":"10.32614/cran.package.fasstr","title":"fasstr: Analyze, Summarize, and Visualize Daily Streamflow Data","year":2020,"lang":"en","type":"dataset","venue":"","topic":"Time Series Analysis and Forecasting","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Government of British Columbia","funders":"","keywords":"Streamflow; Computer science; Geography; Cartography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.000331778,0.0004264428,0.0006926098,0.0001755932,0.0001888113,0.001037907,0.00417623,0.0002128393,0.0003437711],"category_scores_gemma":[0.0001473493,0.0003548061,0.0001070278,0.0007504757,0.00007995463,0.0008090255,0.006211357,0.0003959758,0.0002678731],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001863092,"about_ca_system_score_gemma":0.0001231077,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001337707,"about_ca_topic_score_gemma":0.0009439358,"domain_scores_codex":[0.9970248,0.00008413394,0.0005302178,0.001466429,0.0004895955,0.0004048028],"domain_scores_gemma":[0.9961806,0.0001292689,0.0003050252,0.00302419,0.00006715222,0.0002937458],"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":[0.00000309016,0.00002387056,0.00001687018,0.00005250808,0.000163382,0.00005329444,0.000009166853,0.000003437208,0.000001982762,0.0002677446,0.9870808,0.01232384],"study_design_scores_gemma":[0.0001408147,0.00006226545,0.00002869419,0.00002626332,0.0001426243,0.00001231693,0.00001966952,0.07664851,0.000002585167,0.00005089938,0.9224724,0.0003929597],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000002261781,0.0002570378,0.01748574,0.0004863833,0.00017781,0.0001043831,0.9809012,0.0001137137,0.0004714643],"genre_scores_gemma":[0.00001560777,0.0006344439,0.01284626,0.0005383836,0.0002332929,0.000003210125,0.9852923,0.00001407539,0.0004223863],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07664508,"threshold_uncertainty_score":0.9999991,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04019549650802423,"score_gpt":0.2799424073963571,"score_spread":0.2397469108883328,"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."}}