{"id":"W2338911799","doi":"10.1016/j.jglr.2016.03.011","title":"Simulating the thermal behavior in Lake Ontario using EFDC","year":2016,"lang":"en","type":"article","venue":"Journal of Great Lakes Research","topic":"Oceanographic and Atmospheric Processes","field":"Earth and Planetary Sciences","cited_by":61,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"National Oceanic and Atmospheric Administration; University of Notre Dame","keywords":"Environmental science; Bathymetry; Shoal; Thermal; Stratification (seeds); Evaporation; Latent heat; Attenuation; Meteorology; Hydrology (agriculture); Atmospheric sciences; Geology; Geomorphology; Oceanography; Physics; Optics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001469937,0.000443486,0.0003789082,0.0003662959,0.001148013,0.0008496788,0.00101752,0.001149719,0.004310048],"category_scores_gemma":[0.000892281,0.0004303355,0.000585235,0.0007221785,0.0006889668,0.0004400942,0.000501257,0.0005697357,0.0002148752],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006062399,"about_ca_system_score_gemma":0.006345716,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.915366,"about_ca_topic_score_gemma":0.9123341,"domain_scores_codex":[0.9998815,0.00001330243,0.000006133555,0.00002672994,0.00002407807,0.00004825377],"domain_scores_gemma":[0.9996847,0.00009798432,0.00002262328,0.00001967733,0.0001117971,0.00006329753],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00007197698,0.00005041656,0.01556718,0.00003086132,0.00001993678,0.00008971932,0.0001058637,0.9798846,0.001037241,0.0003334676,0.0005180956,0.002290597],"study_design_scores_gemma":[0.00006050722,0.00002061087,0.007751956,0.00000523125,0.0000151813,0.000006848554,0.0001291238,0.9909903,0.0002954377,0.000104433,0.0006066522,0.00001380276],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9867322,0.00005365618,0.00205818,0.0002090029,0.00002095599,0.00003257977,0.001464346,0.000207245,0.009221854],"genre_scores_gemma":[0.9963725,0.00002936515,0.001387628,0.00001907395,0.000003742135,0.00001777458,0.000503901,0.00002130868,0.001644677],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08463401,"threshold_uncertainty_score":0.1702648,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07654094289933765,"score_gpt":0.3214493149465855,"score_spread":0.2449083720472479,"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."}}