{"id":"W7042619809","doi":"","title":"Practical Issues in Floodplain Mapping Over Large Regions","year":2021,"lang":"en","type":"article","venue":"Scholarship@Western (Western University)","topic":"Science and Climate Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Floodplain; Downscaling; Flood myth; Flooding (psychology); HEC-HMS; Hydrology (agriculture); Drainage basin; Scale (ratio)","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":[0.01359379,0.0008010516,0.0007205859,0.001870562,0.002023803,0.004255227,0.003249956,0.001799011,0.006255121],"category_scores_gemma":[0.0600414,0.0009299009,0.000835933,0.003447324,0.002451514,0.005416221,0.003205874,0.002088827,0.001862077],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001737475,"about_ca_system_score_gemma":0.002380262,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02468929,"about_ca_topic_score_gemma":0.03524779,"domain_scores_codex":[0.9925494,0.003683014,0.0005531994,0.001178616,0.001836641,0.0001990601],"domain_scores_gemma":[0.9361033,0.04842597,0.002541735,0.005900509,0.006382415,0.0006460294],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002208027,0.0001009302,0.0213976,0.001579181,0.0001216592,0.001566763,0.005945866,0.1327288,0.01188515,0.1222117,0.05655996,0.6456815],"study_design_scores_gemma":[0.0001225302,0.0002254786,0.02463802,0.0007457866,0.00009706207,0.004954322,0.01166626,0.3777604,0.01162791,0.2824974,0.2854195,0.0002453488],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04547984,0.003005414,0.9071352,0.02052418,0.0006092672,0.0003925423,0.0009794537,0.003031992,0.01884208],"genre_scores_gemma":[0.1544316,0.001497509,0.8376528,0.0007913521,0.00025835,0.0002172463,0.0004158519,0.000648194,0.004087036],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02468929,"threshold_uncertainty_score":0.07189173,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.124028073750678,"score_gpt":0.3572084536488964,"score_spread":0.2331803798982185,"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."}}