{"id":"W2918660533","doi":"10.14288/1.0376581","title":"Turbidity dynamics in small streams as a key component of water quality management","year":2019,"lang":"en","type":"article","venue":"cIRcle (University of British Columbia)","topic":"Integrated Water Resources Management","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"STREAMS; Component (thermodynamics); Water quality; Turbidity; Key (lock); Environmental science; Hydrology (agriculture); Computer science; Ecology; Engineering; Biology; Computer security","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"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":[0.0005642042,0.000220793,0.0003252863,0.0006964653,0.0007950651,0.001025042,0.0003374194,0.0001936796,0.0008101796],"category_scores_gemma":[0.001828975,0.0001420822,0.0002143299,0.001069448,0.0004616521,0.0004053743,0.0004917017,0.0002816941,0.00007271344],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00163879,"about_ca_system_score_gemma":0.001580761,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1856328,"about_ca_topic_score_gemma":0.3670373,"domain_scores_codex":[0.9996146,0.0000968381,0.00002714285,0.00009716798,0.0001123301,0.00005177328],"domain_scores_gemma":[0.9989703,0.0002242208,0.0003409803,0.00004585191,0.0002896737,0.0001291438],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001237097,0.00006126956,0.974855,0.00004612619,0.00005486367,0.0001188218,0.000728224,0.002089855,0.006815095,0.0001849004,0.0003521115,0.01457008],"study_design_scores_gemma":[0.000002533662,0.00003459605,0.9935744,0.000008915872,0.0000170056,0.00002604739,0.0004037703,0.004758056,0.0005364887,0.0001990569,0.0004296498,0.000009520304],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973562,0.0001183319,0.001054126,0.00007268157,0.000003551977,0.00003301249,0.0002785359,0.00002359625,0.00105998],"genre_scores_gemma":[0.998162,0.00007718171,0.001000873,0.0000227654,0.000004554661,0.00001960715,0.0002404706,0.000005507904,0.0004671264],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1856328,"threshold_uncertainty_score":0.3691046,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006446118925624357,"score_gpt":0.1660942605139393,"score_spread":0.1596481415883149,"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."}}