{"id":"W7048069994","doi":"","title":"Interaction between opposite river bank dynamics","year":2017,"lang":"en","type":"other","venue":"Research Repository (Delft University of Technology)","topic":"Pulsed Power Technology Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Bank erosion; Accretion (finance); Erosion; Bank; Bank failure; Lag; Duration (music)","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":[0.0003175448,0.0002254178,0.0003412392,0.0004497748,0.0003279996,0.001363619,0.0003429595,0.0003407579,0.007461812],"category_scores_gemma":[0.001788916,0.0002028807,0.0004185154,0.0004697434,0.0003883642,0.0008519138,0.001151937,0.0004161823,0.0005435935],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005495329,"about_ca_system_score_gemma":0.0003992186,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005303407,"about_ca_topic_score_gemma":0.00624959,"domain_scores_codex":[0.9996288,0.00009812593,0.00002749149,0.0001149403,0.00007816272,0.00005247316],"domain_scores_gemma":[0.9993076,0.0003232332,0.000126615,0.00005887817,0.0001036526,0.00007998272],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000670773,0.0003224389,0.6907951,0.0004098502,0.0004860048,0.002498473,0.001506014,0.1134807,0.03814973,0.03645789,0.008497677,0.1067252],"study_design_scores_gemma":[0.00007790297,0.0002129169,0.7180408,0.00006805629,0.0003496607,0.0009973344,0.0014412,0.2337765,0.005255653,0.01754537,0.02211994,0.0001146756],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9599804,0.0001955008,0.01243558,0.0004694026,0.00005484156,0.00002865188,0.000898458,0.0001797421,0.02575749],"genre_scores_gemma":[0.9952177,0.00009481147,0.001320838,0.00004245601,0.000009812529,0.00001059624,0.0002201939,0.00003360206,0.003049924],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007461812,"threshold_uncertainty_score":0.02496225,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01921665666842693,"score_gpt":0.2784002041765802,"score_spread":0.2591835475081533,"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."}}