{"id":"W2899737443","doi":"10.1007/s10652-018-9632-6","title":"Temporal variations in turbidity in an oil sands pit lake","year":2018,"lang":"en","type":"article","venue":"Environmental Fluid Mechanics","topic":"Oceanographic and Atmospheric Processes","field":"Earth and Planetary Sciences","cited_by":45,"is_retracted":false,"has_abstract":true,"ca_institutions":"Syncrude (Canada); University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; Syncrude","keywords":"Turbidity; Epilimnion; Stratification (seeds); Environmental science; Geology; Turbidity current; Settling; Hydrology (agriculture); Atmospheric sciences; Oceanography; Hypolimnion; Geomorphology; Eutrophication; Chemistry; Nutrient","routes":{"ca_aff":true,"ca_fund":true,"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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002250452,0.0001254828,0.0001243856,0.00003236308,0.00009220961,0.00002589003,0.0001822152,0.00008249134,0.005080006],"category_scores_gemma":[0.000009902453,0.0001176677,0.00002584536,0.0002493128,0.0000529022,0.0003349663,0.00001868818,0.0001217896,0.0001531015],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009996024,"about_ca_system_score_gemma":0.00002255723,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002891471,"about_ca_topic_score_gemma":0.01649083,"domain_scores_codex":[0.9990368,0.00004669103,0.0001978922,0.0002673314,0.000188096,0.0002631663],"domain_scores_gemma":[0.9996803,0.00002245768,0.0000372246,0.0001609629,0.00000238848,0.00009670911],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003176523,0.0001404024,0.9799159,0.000005967014,0.00000429264,0.00001703884,0.0004263509,0.0003883535,0.0005107335,0.0001263268,0.00007742018,0.01835546],"study_design_scores_gemma":[0.0006835438,0.0004495416,0.6970147,0.00001991216,0.000008898264,0.00000809372,0.0004894997,0.2912488,0.0005448827,0.003101671,0.006082259,0.0003482363],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977078,0.000201206,0.0004603428,0.00005262595,0.0002446799,0.00005411578,0.00008806223,0.00002560928,0.001165551],"genre_scores_gemma":[0.9979013,0.0001890757,0.001227893,0.0002095416,0.0001072067,0.000001372242,0.0002248112,0.000004563847,0.0001342152],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2908604,"threshold_uncertainty_score":0.9958295,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0091510161608331,"score_gpt":0.1952279468524991,"score_spread":0.186076930691666,"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."}}