{"id":"W4413729946","doi":"10.32614/cran.package.ffaframework","title":"ffaframework: Flood Frequency Analysis Framework","year":2025,"lang":"en","type":"dataset","venue":"","topic":"Hydrology and Drought Analysis","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Environment and Climate Change Canada","keywords":"Flood myth; Frequency analysis; Computer science; Environmental science; Geography; Archaeology; Algorithm","routes":{"ca_aff":false,"ca_fund":true,"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":[0.001697271,0.001852131,0.001194183,0.003229843,0.0008338093,0.002189638,0.003290297,0.00165395,0.08934607],"category_scores_gemma":[0.006885482,0.0009412662,0.001733113,0.004048329,0.0003892859,0.001784571,0.002367206,0.002012447,0.09752706],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001382639,"about_ca_system_score_gemma":0.002766739,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02549703,"about_ca_topic_score_gemma":0.04470447,"domain_scores_codex":[0.9992104,0.000156311,0.00009638,0.0002860819,0.0001418894,0.000108937],"domain_scores_gemma":[0.9982234,0.0006396679,0.0001489889,0.0004728652,0.0003819096,0.0001332266],"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":[0.00005331932,0.00001392516,0.0008793767,0.0004208191,0.00003792654,0.0000191901,0.00003867756,0.0006692389,0.0001510875,0.0009922795,0.9920654,0.004658802],"study_design_scores_gemma":[0.000231852,0.0000152276,0.003765057,0.0002725675,0.00003585247,0.00007000166,0.00007574529,0.001725101,0.0005938084,0.005705602,0.9874512,0.00005808901],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001416811,0.00004829652,0.001117392,0.00007677276,0.00002770184,0.00003362511,0.9951911,0.002832053,0.0005313491],"genre_scores_gemma":[0.0006366645,0.00005634892,0.002570743,0.00007933886,0.000009543722,0.0003743909,0.9950841,0.0006162662,0.0005726605],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08934607,"threshold_uncertainty_score":0.2988924,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005297513542483562,"score_gpt":0.2533230968993893,"score_spread":0.2480255833569057,"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."}}