{"id":"W2799920293","doi":"10.1061/(asce)ee.1943-7870.0001371","title":"Operational Limitations of Arctic Waste Stabilization Ponds: Insights from Modeling Oxygen Dynamics and Carbon Removal","year":2018,"lang":"en","type":"article","venue":"Journal of Environmental Engineering","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Environmental science; Environmental engineering; Carbon fibers; Arctic; Waste management; Waste treatment; Oxygen; Engineering; Chemistry; Computer science; Oceanography; Geology","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":[0.00008440506,0.0001554533,0.0001879681,0.00002489141,0.00006026274,0.00001364519,0.0001266099,0.00006871078,0.00009717323],"category_scores_gemma":[0.00003278576,0.000150224,0.00005410413,0.00008448392,0.0001550776,0.0003228478,0.0001241613,0.0001368747,0.000003616082],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004569839,"about_ca_system_score_gemma":0.000006260624,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005703935,"about_ca_topic_score_gemma":0.00002063707,"domain_scores_codex":[0.9988827,0.00001938813,0.0004388176,0.00016563,0.0003543347,0.0001391296],"domain_scores_gemma":[0.9995438,0.00004975959,0.0001713316,0.0001224659,0.000004953911,0.0001076512],"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":[0.0000238576,0.00007171266,0.00705694,0.000004481513,0.00003435037,0.000006296897,0.0005934238,0.8951256,0.09565894,0.00007441184,8.073802e-7,0.001349142],"study_design_scores_gemma":[0.0003372103,0.0001661089,0.01876037,0.00003096852,0.00004369391,0.00004415643,0.0007033036,0.9786974,0.0008628764,0.0001651881,0.00004109455,0.0001476796],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9373149,0.0001887984,0.06208705,0.00003032041,0.0001273774,0.00007199946,0.00000584218,0.000005680182,0.000167981],"genre_scores_gemma":[0.9687366,0.0002687139,0.03080218,0.00002554639,0.00009614741,0.00000130693,0.000008637094,0.00002509503,0.00003570854],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09479607,"threshold_uncertainty_score":0.6125959,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008352151165985727,"score_gpt":0.1699702283272,"score_spread":0.1616180771612143,"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."}}