{"id":"W2089917070","doi":"10.1080/10934520802330370","title":"Modeling of nitrogen oxides (NO<sub>x</sub>) concentrations resulting from ships at berth","year":2008,"lang":"en","type":"article","venue":"Journal of Environmental Science and Health Part A","topic":"Maritime Transport Emissions and Efficiency","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"NOx; Environmental science; Air quality index; Port (circuit theory); Harbour; Pollution; Environmental engineering; Atmospheric dispersion modeling; Pollutant; Air pollution; Environmental protection; Meteorology; Geography; Engineering; Combustion; Ecology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001141849,0.0001259775,0.0002518073,0.00005269895,0.0009127097,0.00001214281,0.0002411647,0.00004225291,0.0004697272],"category_scores_gemma":[0.00003845404,0.0001033778,0.00006410891,0.0002003399,0.0009200295,0.0004432086,0.0001222703,0.0001705982,0.0000339587],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003719039,"about_ca_system_score_gemma":0.0001331312,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002702509,"about_ca_topic_score_gemma":0.00006295451,"domain_scores_codex":[0.9977456,0.00003807343,0.0007073192,0.0002616846,0.0008551949,0.0003920746],"domain_scores_gemma":[0.9990012,0.00003842818,0.0003431771,0.0001477453,0.00001364472,0.0004557699],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00008057824,0.0003727961,0.448019,0.00001445931,0.00001107243,0.0000266025,0.002568796,0.00973511,0.5333434,0.00001402546,0.001050893,0.004763287],"study_design_scores_gemma":[0.00274204,0.001448049,0.81296,0.0004256912,0.00007001736,0.0004371354,0.001885021,0.09473968,0.07619645,0.0005481831,0.007709837,0.0008378595],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981428,0.0003985288,0.0001357301,0.0003645367,0.00007881696,0.0001222892,0.00002650403,0.000004462324,0.0007263602],"genre_scores_gemma":[0.9962672,0.001932199,0.001420897,0.0002884804,0.00005531865,0.000001532983,0.000003566673,0.000006659756,0.00002416638],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.457147,"threshold_uncertainty_score":0.7019917,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03324536568871802,"score_gpt":0.2507608052748883,"score_spread":0.2175154395861703,"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."}}