{"id":"W2319173232","doi":"10.1061/40685(2003)168","title":"Assessment of Small Stream Floods in Hungary","year":2003,"lang":"en","type":"article","venue":"","topic":"Hungarian Social, Economic and Educational Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Flash flood; Watershed; Soil conservation; STREAMS; Structural basin; Natural (archaeology); Land cover; Hydrology (agriculture); Geography; Drainage basin; Water resource management; Situated; Quarter (Canadian coin); Erosion; Environmental science; Land use; Geology; Agriculture; Flood myth; Archaeology; Cartography; Ecology; Geomorphology","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":[0.0004221842,0.0001850326,0.0003631577,0.001674564,0.0003024438,0.001009782,0.0002400507,0.0003174894,0.001086824],"category_scores_gemma":[0.00120034,0.0001537985,0.0003265148,0.00127252,0.0003170953,0.0004315509,0.0006946467,0.0001941469,0.0001400561],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001023127,"about_ca_system_score_gemma":0.0005525626,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01208732,"about_ca_topic_score_gemma":0.01480422,"domain_scores_codex":[0.9996278,0.00006305126,0.00005986642,0.00005521479,0.0001102343,0.00008387106],"domain_scores_gemma":[0.999449,0.0001510238,0.0001345046,0.00002002939,0.0001244256,0.0001211294],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000456806,0.0001393033,0.9469897,0.0001365604,0.000167155,0.001692732,0.001138561,0.01381198,0.002593924,0.0006867241,0.0007103278,0.03147621],"study_design_scores_gemma":[0.000005922542,0.0000529405,0.9958519,0.00000710144,0.0000183273,0.00009104444,0.0009573875,0.002282151,0.0002212558,0.00008136141,0.0004243087,0.000006315206],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976769,0.00007694082,0.0003938457,0.00002225903,0.00000573372,0.00002196813,0.000578617,0.00001204347,0.001211686],"genre_scores_gemma":[0.9989522,0.00007631538,0.000154296,0.000006478442,0.000005934734,0.00001175221,0.000520213,0.000002318766,0.0002705277],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01208732,"threshold_uncertainty_score":0.0240339,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04691603397976278,"score_gpt":0.351019935224898,"score_spread":0.3041039012451352,"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."}}