{"id":"W2070146044","doi":"10.1007/s12685-013-0074-2","title":"Changes in water and land: the reconstructed Viennese riverscape from 1500 to the present","year":2013,"lang":"en","type":"article","venue":"Water History","topic":"Hydrology and Sediment Transport Processes","field":"Environmental Science","cited_by":79,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Institut National de Recherche en Sciences et Technologies pour l'Environnement et l'Agriculture; Austrian Science Fund; York University","keywords":"Floodplain; Flood myth; Siege; Channel (broadcasting); Geography; Archaeology; History; Ancient history; Civil engineering; Engineering; Cartography; Telecommunications","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0001455956,0.0001057347,0.0001105947,0.0008925879,0.0003793952,0.001246763,0.000331642,0.0004451987,0.001702086],"category_scores_gemma":[0.0004723285,0.0001100404,0.0001362823,0.001050359,0.001003959,0.0008616598,0.0006110523,0.0002494256,0.0001939339],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001994953,"about_ca_system_score_gemma":0.0005496576,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08295915,"about_ca_topic_score_gemma":0.2136588,"domain_scores_codex":[0.9999317,0.00001089424,0.000003998985,0.00002624301,0.00001299681,0.00001411031],"domain_scores_gemma":[0.9999522,0.000008013394,0.00001054617,0.000005377794,0.00001488399,0.000008973513],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000309171,0.0001051525,0.6034493,0.0003635698,0.0002252315,0.003006118,0.0337782,0.009591363,0.01080813,0.1037894,0.008218555,0.2263557],"study_design_scores_gemma":[0.000009354872,0.00005313084,0.8517364,0.0001463738,0.00004005408,0.0008574932,0.01005571,0.002512181,0.0009084468,0.008860839,0.1247625,0.00005758367],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9751506,0.001425989,0.0005810693,0.0007341283,0.00002528208,0.00000667929,0.0007323221,0.00002015723,0.02132383],"genre_scores_gemma":[0.995619,0.0004282983,0.0003842692,0.00003131485,0.000005601149,0.000003831333,0.0004084135,0.00001035789,0.003108933],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08295915,"threshold_uncertainty_score":0.1649525,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007626790950638768,"score_gpt":0.1629276849012225,"score_spread":0.1553008939505837,"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."}}