{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001826756,0.002623947,0.00127295,0.002902653,0.0007152863,0.002354872,0.00384426,0.001407091,0.04979013],"category_scores_gemma":[0.005301827,0.0008216665,0.001540874,0.003464439,0.0003856781,0.00139637,0.002197438,0.001960763,0.08286287],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001384857,"about_ca_system_score_gemma":0.002361247,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03247329,"about_ca_topic_score_gemma":0.05588857,"domain_scores_codex":[0.9990253,0.0001679338,0.0001360426,0.0002702345,0.0002372283,0.0001632671],"domain_scores_gemma":[0.9982182,0.0003745643,0.0001787176,0.0004672976,0.0005829747,0.0001782242],"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":[0.00003972321,0.00001955162,0.0009340504,0.000304918,0.00003089622,0.00001878678,0.0000290029,0.0003608225,0.0001911023,0.0005390211,0.9948261,0.00270595],"study_design_scores_gemma":[0.000462812,0.00003500316,0.00886247,0.0002965479,0.00005255835,0.00008131884,0.00009554673,0.002691439,0.001402664,0.003527931,0.9823999,0.00009169216],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"software","genre_scores_codex":[0.0001982219,0.00002312321,0.0003387866,0.0000609588,0.00002942161,0.00001814036,0.9976629,0.001269478,0.0003988711],"genre_scores_gemma":[0.0004254862,0.00002847389,0.001131546,0.00003349462,0.00000696942,0.0001128112,0.9976388,0.0002285999,0.0003937186],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.04979013,"threshold_uncertainty_score":0.1665646,"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."}}