{"id":"W2012246188","doi":"10.1016/s0378-3839(00)00008-9","title":"Coastline changes nearby harbour structures: comparative analysis of one-line models versus field data","year":2000,"lang":"en","type":"article","venue":"Coastal Engineering","topic":"Coastal and Marine Dynamics","field":"Earth and Planetary Sciences","cited_by":92,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Canada Excellence Research Chairs, Government of Canada","keywords":"Harbour; Shore; Field (mathematics); Geology; Sediment transport; Sensitivity (control systems); Longshore drift; Computation; Sediment; Oceanography; Geomorphology; Computer science; Engineering; Mathematics; Algorithm","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":[0.002011013,0.0005559069,0.0008287521,0.001599672,0.0003934565,0.001063662,0.001138621,0.001031778,0.00161373],"category_scores_gemma":[0.006418604,0.0004249745,0.001351414,0.001756164,0.0004036281,0.001289678,0.0003185053,0.0004441047,0.0003715382],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001239539,"about_ca_system_score_gemma":0.0006292714,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06152076,"about_ca_topic_score_gemma":0.03722008,"domain_scores_codex":[0.9994459,0.0002346254,0.00004261691,0.0001625178,0.0000634164,0.00005098301],"domain_scores_gemma":[0.9894441,0.008311018,0.0005348418,0.0005777391,0.0009155167,0.0002168341],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0009363635,0.0002312942,0.106067,0.0001207969,0.0003922755,0.0001265141,0.0001997481,0.8779272,0.0009600993,0.0005641835,0.0008337185,0.01164062],"study_design_scores_gemma":[0.00007665443,0.0002233018,0.06759805,0.00001581504,0.0001734176,0.00006666919,0.000254483,0.9302669,0.0006094493,0.0002933719,0.0003882015,0.00003370758],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969245,0.0000625852,0.001414356,0.0000419751,0.000006538204,0.00001278108,0.0007003874,0.0001057867,0.0007311423],"genre_scores_gemma":[0.9969861,0.00006653142,0.00098623,0.00001000448,0.000005689337,0.00001401362,0.001652362,0.00004833848,0.0002306929],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06152076,"threshold_uncertainty_score":0.1223253,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05954729821594382,"score_gpt":0.2530437303109594,"score_spread":0.1934964320950156,"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."}}