{"id":"W2977533666","doi":"10.1149/ma2018-02/27/917","title":"Removal of Silica from in-Situ Produced Water By Electrocoagulation","year":2018,"lang":"en","type":"article","venue":"ECS Meeting Abstracts","topic":"Water Quality Monitoring and Analysis","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Electrocoagulation; Fouling; Electrode; Materials science; Coagulation; Water treatment; Chemical engineering; Scanning electron microscope; Particle (ecology); Electrolyte; Analytical Chemistry (journal); Chemistry; Composite material; Environmental engineering; Environmental science; Chromatography","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":[0.0001586707,0.0003728337,0.000292769,0.0001698399,0.0001424412,0.0002974844,0.000224648,0.0002485944,0.0007951095],"category_scores_gemma":[0.0003369323,0.0001627421,0.0002423132,0.0001404168,0.0002033382,0.0002142288,0.0001825401,0.0003336472,0.0001695438],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002709698,"about_ca_system_score_gemma":0.0001620619,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00121488,"about_ca_topic_score_gemma":0.00212866,"domain_scores_codex":[0.999853,0.00001859974,0.00001049216,0.00002989207,0.00005849603,0.00002950406],"domain_scores_gemma":[0.9998772,0.00003691499,0.00003247472,0.00001180079,0.00003068921,0.00001098263],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000009318062,0.000003765936,0.00005651262,0.00001539734,0.000001561464,0.00001201803,0.000007817189,0.00002455306,0.999477,0.000003857497,0.000007211353,0.0003810968],"study_design_scores_gemma":[0.000001227367,0.0000355882,0.0005856595,7.539275e-7,0.000002295308,0.00001783332,0.000005376592,0.0001797978,0.998974,0.00000332339,0.0001930159,0.000001183681],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963075,0.0002329164,0.002652622,0.00004077031,0.00001021201,0.00001589839,0.00007962267,0.00003269095,0.000627766],"genre_scores_gemma":[0.9919806,0.0004681958,0.004672236,0.00005332788,0.00001063223,0.00001820442,0.0002136648,0.00004470779,0.002538562],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00121488,"threshold_uncertainty_score":0.002659857,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01322949290346133,"score_gpt":0.2406296844748824,"score_spread":0.2274001915714211,"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."}}