{"id":"W4399547424","doi":"10.32614/cran.package.flowscreen","title":"FlowScreen: Daily Streamflow Trend and Change Point Screening","year":2016,"lang":"en","type":"dataset","venue":"","topic":"Scientific Computing and Data Management","field":"Decision Sciences","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Streamflow; Environmental science; Point (geometry); Geography; Mathematics; Cartography; Geometry","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.005828812,0.0004284524,0.000591214,0.001028727,0.00031924,0.003201227,0.002275992,0.0001922998,0.004731758],"category_scores_gemma":[0.001225578,0.0002513015,0.0001597356,0.0007274388,0.0001958709,0.001260974,0.002837242,0.0002248368,0.001191797],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002531683,"about_ca_system_score_gemma":0.00002730207,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006884065,"about_ca_topic_score_gemma":0.002029924,"domain_scores_codex":[0.9940224,0.0002307163,0.0008841819,0.002010804,0.002290622,0.0005612266],"domain_scores_gemma":[0.9944823,0.001272489,0.0004025284,0.003396386,0.0001218876,0.0003244385],"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":[0.000007857673,0.00001722933,0.000008471811,0.00000586246,0.00001735461,0.00001846943,0.00002520328,3.961676e-7,2.735447e-7,0.00001595376,0.6515391,0.3483438],"study_design_scores_gemma":[0.000350408,0.00005787898,0.0003165483,0.0001882043,0.00003633332,0.00001037578,0.000513505,0.0004607806,0.000001769814,0.0005667778,0.9971227,0.0003747078],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003016409,0.0004993349,0.003378805,0.002069841,0.002462749,0.0003031983,0.9903143,0.00007772156,0.000863888],"genre_scores_gemma":[0.0000351301,0.0004587635,0.001783404,0.001245254,0.0009697431,0.00002567273,0.9843226,0.00001766341,0.01114179],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3479691,"threshold_uncertainty_score":0.9999939,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2083243509409565,"score_gpt":0.3827075972648118,"score_spread":0.1743832463238554,"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."}}