{"id":"W4318035344","doi":"10.30880/ijie.2022.14.09.018","title":"Tidal Effect on Coastal Municipal Drainage System: Case Study of Bandar Maharani, Muar","year":2022,"lang":"en","type":"article","venue":"International Journal of Integrated Engineering","topic":"Water and Land Management","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"KGS Group (Canada)","funders":"Universiti Tun Hussein Onn Malaysia","keywords":"Flash flood; Drainage; Environmental science; Flood myth; Hydrology (agriculture); Drainage system (geomorphology); Geotechnical engineering; Geography; Geology; Archaeology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002100635,0.0002669702,0.0002215163,0.0006148411,0.00130097,0.000754908,0.0005542852,0.000600575,0.00145345],"category_scores_gemma":[0.0004234218,0.0001485977,0.000271413,0.001492929,0.0005498847,0.0004108208,0.0005723624,0.0003130166,0.0001318015],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001597099,"about_ca_system_score_gemma":0.0009507607,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05288211,"about_ca_topic_score_gemma":0.1339618,"domain_scores_codex":[0.9997835,0.0000633556,0.00001401712,0.00002643239,0.00003554991,0.00007716006],"domain_scores_gemma":[0.9996665,0.0001133233,0.00006517588,0.00002169895,0.00005180535,0.00008155062],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006448547,0.001643702,0.7683931,0.0005762359,0.0002269617,0.07708944,0.01099779,0.04443328,0.01815329,0.00306637,0.003490822,0.07128406],"study_design_scores_gemma":[0.00008724487,0.001302853,0.8782156,0.00008746856,0.0002446297,0.007773404,0.0531425,0.03914041,0.006557481,0.0009629184,0.01237656,0.0001089634],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986916,0.00006813349,0.0001327709,0.0000556259,0.000001758729,0.00001588254,0.00007209402,0.000009042413,0.0009530584],"genre_scores_gemma":[0.9983758,0.000184034,0.0003972826,0.0000157925,0.000003839239,0.000009777864,0.0000942832,0.000003929302,0.0009152981],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05288211,"threshold_uncertainty_score":0.1051486,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004699905580189526,"score_gpt":0.2111498470679248,"score_spread":0.2064499414877353,"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."}}