{"id":"W7015121044","doi":"","title":"The seabed maintenance through a jet-pump device: the case study of Rodi Garganico (South Italy)","year":2019,"lang":"en","type":"article","venue":"Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna)","topic":"Environmental and Sediment Control","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"U.S. Army Corps of Engineers; Ministry of Environment; Department for International Development; Natural Environment Research Council; Canada Excellence Research Chairs, Government of Canada; Bundesministerium für Bildung und Forschung; Technische Universiteit Delft; Japan Society for the Promotion of Science; Ministry of Education, Culture, Sports, Science and Technology; Bureau de Recherches Géologiques et Minières; European Commission","keywords":"Dredging; Siltation; Seabed; Operability; Current (fluid)","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":[0.0003188444,0.0005163486,0.0002544306,0.0005899916,0.001344635,0.0008973667,0.0009054185,0.001605357,0.002553381],"category_scores_gemma":[0.0005933066,0.0001894363,0.0003547142,0.0005994324,0.0006943912,0.0004676542,0.0006464747,0.000474228,0.0004601701],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001305988,"about_ca_system_score_gemma":0.0008301811,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03163301,"about_ca_topic_score_gemma":0.05777127,"domain_scores_codex":[0.9997008,0.00008358055,0.00001383291,0.00006281026,0.00006251624,0.00007640602],"domain_scores_gemma":[0.999712,0.00009573785,0.00005024087,0.00002772906,0.00003870528,0.00007548409],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001902966,0.003643106,0.3814555,0.001367706,0.00031622,0.2565669,0.0166807,0.1620503,0.03486431,0.01231148,0.01500329,0.1138375],"study_design_scores_gemma":[0.000438605,0.005906749,0.6511565,0.0004642924,0.0004017231,0.03438103,0.06725487,0.1204451,0.02310912,0.003477849,0.09261748,0.000346725],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9923657,0.0001563112,0.001660242,0.0002658087,0.00001607577,0.00006689141,0.0002283685,0.00003224966,0.005208408],"genre_scores_gemma":[0.9928181,0.0002152786,0.001768443,0.00002864365,0.00001024173,0.00002308744,0.0001325841,0.00001325851,0.004990336],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03163301,"threshold_uncertainty_score":0.0628978,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01025433257389983,"score_gpt":0.2032033002833802,"score_spread":0.1929489677094804,"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."}}