{"id":"W4362635662","doi":"10.1016/j.jglr.2023.03.010","title":"Nearshore-offshore exchanges by enhanced turbulent mixing along the north shore of Lake Ontario","year":2023,"lang":"en","type":"article","venue":"Journal of Great Lakes Research","topic":"Aquatic Invertebrate Ecology and Behavior","field":"Environmental Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; Bedford Institute of Oceanography; Environment and Climate Change Canada; Fisheries and Oceans Canada","funders":"","keywords":"Downwelling; Upwelling; Oceanography; Thermocline; Submarine pipeline; Shore; Geology; Littoral zone; Hypolimnion; Environmental science; Nutrient; Ecology; Eutrophication","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.00006021641,0.000144673,0.0001487434,0.0004126042,0.000827878,0.0004590061,0.0001562378,0.0001333503,0.0008507404],"category_scores_gemma":[0.0002323018,0.0001596433,0.0001776846,0.0005005145,0.0003051167,0.0002229525,0.0004736344,0.0001140034,0.00008067131],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002726423,"about_ca_system_score_gemma":0.001884591,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.6449155,"about_ca_topic_score_gemma":0.8748595,"domain_scores_codex":[0.999918,0.000004666155,0.000004427924,0.00001831952,0.00002735271,0.00002731775],"domain_scores_gemma":[0.9998839,0.000008596414,0.00004518582,0.00000375733,0.00003383748,0.00002469892],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001165332,0.00001883813,0.9543404,0.00005072626,0.00005033933,0.0002172894,0.002269179,0.0003523292,0.03535614,0.0001104839,0.0003332833,0.006784435],"study_design_scores_gemma":[9.015021e-7,0.000004263951,0.9992053,0.000002245794,0.000004530234,0.000009858885,0.0002113809,0.0001627864,0.0001753449,0.000005650758,0.000215731,0.000002017572],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989502,0.0000442122,0.00006242029,0.000018555,8.835709e-7,0.000003362385,0.0001223552,0.00000381997,0.000794243],"genre_scores_gemma":[0.9992939,0.00003352511,0.00007292612,0.000007993254,7.73063e-7,0.000003221127,0.0000937235,0.000001748076,0.0004922821],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6449155,"threshold_uncertainty_score":0.7143513,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05325687352995993,"score_gpt":0.3113088183185624,"score_spread":0.2580519447886025,"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."}}