{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003928205,0.0004061648,0.0004075613,0.00004038902,0.001028582,0.00004933804,0.001036859,0.00006812552,0.0005861752],"category_scores_gemma":[0.00001693591,0.0002458227,0.0001751807,0.0003125494,0.0007405351,0.0002950477,0.001530924,0.0003233972,0.0009174379],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002406548,"about_ca_system_score_gemma":0.00002312611,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005023158,"about_ca_topic_score_gemma":0.0008540846,"domain_scores_codex":[0.9972088,0.0003130525,0.000403032,0.0007286787,0.0006344529,0.0007119262],"domain_scores_gemma":[0.998402,0.0003506656,0.0002777686,0.0008366898,0.00002143254,0.000111469],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009506422,0.002667561,0.9205578,0.00007388579,0.001119521,0.003606248,0.03181045,0.0050184,0.0131021,0.01456459,0.004805272,0.00172355],"study_design_scores_gemma":[0.0123055,0.00285234,0.7093513,0.00009965998,0.001152502,0.00156826,0.1796811,0.003384022,0.001894569,0.000972803,0.08460813,0.002129795],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.938299,0.0001025987,0.0001041451,0.00107817,0.0002525653,0.001270759,0.00005439246,0.00004444239,0.05879395],"genre_scores_gemma":[0.9708672,0.00007341427,0.00007118077,0.0003697559,0.00003427737,0.00002642047,0.00001000152,0.00002962062,0.02851816],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2112065,"threshold_uncertainty_score":0.9999994,"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."}}