{"id":"W2884873261","doi":"10.1080/14634988.2018.1500059","title":"Water circulation in Toronto Harbour","year":2018,"lang":"en","type":"article","venue":"Aquatic Ecosystem Health & Management","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University; Fisheries and Oceans Canada; Ministry of Environment; Toronto and Region Conservation Authority; The Scarborough Hospital; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Oceanography; Upwelling; Harbour; Flushing; Environmental science; Context (archaeology); Seiche; Water quality; Current (fluid); Hydrology (agriculture); Geology; Ecology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004535996,0.0001621316,0.00009854889,0.0006203502,0.000995064,0.000689041,0.0002091629,0.0001744089,0.003068956],"category_scores_gemma":[0.0001596788,0.0000904116,0.0001544609,0.001328738,0.0004280795,0.0002303933,0.000570773,0.0001508942,0.0002238902],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008646303,"about_ca_system_score_gemma":0.004391401,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9343816,"about_ca_topic_score_gemma":0.9680263,"domain_scores_codex":[0.9999472,0.000003892346,0.000002437501,0.000009259747,0.00001642757,0.00002083094],"domain_scores_gemma":[0.9998765,0.00000687937,0.00002724933,0.000003503614,0.00004414491,0.00004168391],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002882264,0.00002287039,0.8919324,0.0003853035,0.0001438481,0.00308367,0.01232925,0.006732221,0.0140773,0.003876116,0.01520488,0.05192399],"study_design_scores_gemma":[0.000003598091,0.00002827334,0.9749324,0.0000354456,0.00002088909,0.0001380951,0.002139964,0.001164523,0.0003215806,0.0001170195,0.02107851,0.00001963513],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9712282,0.002435779,0.0007027411,0.0006868325,0.00003772187,0.00002477833,0.004592651,0.00006878977,0.02022243],"genre_scores_gemma":[0.993305,0.0009883891,0.0003466101,0.00005465727,0.00001500829,0.000008761667,0.00103578,0.000008361845,0.004237405],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0656184,"threshold_uncertainty_score":0.1320096,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01161536053929609,"score_gpt":0.2574372773429866,"score_spread":0.2458219168036905,"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."}}