{"id":"W6987684074","doi":"","title":"Toronto Energy Company Fined for Releasing Sediment","year":2020,"lang":"en","type":"other","venue":"","topic":"Membrane-based Ion Separation Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Sediment; Hydrology (agriculture); Erosion; Energy (signal processing); Sediment control","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007206694,0.001246274,0.0005226546,0.002406558,0.003101461,0.00286118,0.0008470608,0.002408993,0.3600425],"category_scores_gemma":[0.001415209,0.0008032285,0.00087673,0.001186542,0.0005698277,0.001028375,0.001252269,0.003166244,0.1454596],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005020983,"about_ca_system_score_gemma":0.01067714,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2217273,"about_ca_topic_score_gemma":0.5053993,"domain_scores_codex":[0.9987161,0.00004518654,0.00002080946,0.00008448183,0.001009646,0.0001238388],"domain_scores_gemma":[0.9988893,0.00006711675,0.00003014151,0.00009821131,0.0007362919,0.0001790326],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009012768,0.00005877766,0.0002961272,0.000143988,0.00000871988,0.0001823611,0.00004056705,0.0003251924,0.002962512,0.01080903,0.8905355,0.09454715],"study_design_scores_gemma":[0.000007237819,0.00001662434,0.0004375621,0.00003239789,0.000003213086,0.00003469882,0.00002645336,0.0001738421,0.0007857309,0.0003705733,0.9981065,0.000005060046],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002080673,0.001608113,0.002674463,0.005211245,0.002578133,0.0001932388,0.005141056,0.001864633,0.9786484],"genre_scores_gemma":[0.001556607,0.0003469967,0.0006014332,0.0002336942,0.00002752224,0.000009545482,0.0009594213,0.0001815072,0.9960833],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7782726,"threshold_uncertainty_score":0.9128217,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01337796967078581,"score_gpt":0.2391309690010555,"score_spread":0.2257529993302697,"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."}}