{"id":"W1538339835","doi":"10.1109/oceans.2003.178559","title":"Real-time monitoring of currents and water level at second narrows to improve port efficiency in Vancouver harbour","year":2003,"lang":"en","type":"article","venue":"Oceans 2003. Celebrating the Past ... Teaming Toward the Future (IEEE Cat. No.03CH37492)","topic":"Underwater Acoustics Research","field":"Earth and Planetary Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Provincial Health Services Authority; Canadian Hydrographic Service; ASL Environmental Sciences (Canada)","funders":"Government of Canada","keywords":"Port (circuit theory); Current (fluid); Environmental science; Harbour; Bridge (graph theory); Marine engineering; Hydrography; Water level; Hydrology (agriculture); Current meter; Water flow; Meteorology; Oceanography; Engineering; Geology; Electrical engineering; Geography; Computer science; Geotechnical engineering; Environmental engineering","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002271258,0.0005186407,0.0005164985,0.0002441155,0.0006658194,0.000186266,0.0009696406,0.0001996118,0.0007523244],"category_scores_gemma":[0.0002351165,0.0002989895,0.00009967917,0.0007763429,0.0002566607,0.0002618758,0.0001450681,0.0006669052,0.0002283311],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009864476,"about_ca_system_score_gemma":0.0002089574,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006261345,"about_ca_topic_score_gemma":0.001503556,"domain_scores_codex":[0.99579,0.0004835168,0.0007449873,0.0007812453,0.000897499,0.001302729],"domain_scores_gemma":[0.9980734,0.0002958253,0.0002142666,0.0007686585,0.0003492408,0.0002985804],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003186207,0.000307484,0.582109,0.0006873317,0.0002389066,0.0001110526,0.04494853,0.03975837,0.2991139,0.00001924918,0.02472614,0.007661452],"study_design_scores_gemma":[0.007547013,0.002578227,0.2132988,0.001206336,0.0004643643,0.0003811783,0.03047991,0.3775947,0.3295362,0.0009024935,0.02990333,0.006107478],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9915243,0.000102419,0.000587384,0.000279595,0.00309466,0.0008919034,0.0001814665,0.0000585442,0.003279665],"genre_scores_gemma":[0.9840781,0.00006160837,0.008607588,0.0000961464,0.0009571062,0.00001392353,0.00003437401,0.00004709986,0.006104041],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3688102,"threshold_uncertainty_score":0.9999462,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01477636805698541,"score_gpt":0.2315828522038922,"score_spread":0.2168064841469068,"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."}}