{"id":"W2754405429","doi":"","title":"The Dynamics of Laurentian Great Lakes Surface Energy Budgets","year":2015,"lang":"en","type":"article","venue":"2015 AGU Fall Meeting","topic":"Marine and environmental studies","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Dynamics (music); Geology; Environmental science; Physics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003707779,0.0001630407,0.0001517125,0.0007420155,0.0005226097,0.001749346,0.000361758,0.0004455271,0.00229209],"category_scores_gemma":[0.001907259,0.000276036,0.0001506977,0.0006940895,0.0006552101,0.001197801,0.0009807149,0.00034959,0.0002279118],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004219044,"about_ca_system_score_gemma":0.002018656,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1970999,"about_ca_topic_score_gemma":0.3206874,"domain_scores_codex":[0.9999129,0.00001443043,0.000006507868,0.000020885,0.00002346604,0.00002173785],"domain_scores_gemma":[0.9996586,0.00005458662,0.0001038172,0.00001600328,0.00009044934,0.00007659948],"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":[0.0005033812,0.0001007537,0.7958582,0.0002293806,0.0004358184,0.0008703784,0.004379253,0.07092986,0.01466274,0.03032359,0.01833415,0.06337246],"study_design_scores_gemma":[0.00003163447,0.00003488933,0.9280348,0.00005193782,0.00005114909,0.00007087098,0.001241549,0.04596978,0.0008829341,0.00258426,0.02100367,0.00004268045],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9897571,0.0002588932,0.0001362257,0.002734532,0.00001198022,0.000002948593,0.000579941,0.00002929708,0.006489038],"genre_scores_gemma":[0.9971645,0.0002457352,0.0001303047,0.0001312456,0.0000134348,0.000003794145,0.0002437494,0.00001366198,0.002053483],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1970999,"threshold_uncertainty_score":0.3919053,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01348538087179139,"score_gpt":0.1972859763347715,"score_spread":0.1838005954629801,"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."}}