{"id":"W2287160218","doi":"10.1016/j.jwpe.2016.01.012","title":"Comparing the growth and structure of flocs from electrocoagulation and chemical coagulation","year":2016,"lang":"en","type":"article","venue":"Journal of Water Process Engineering","topic":"Coagulation and Flocculation Studies","field":"Environmental Science","cited_by":53,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada; Dalhousie University; Petroleum Research Newfoundland and Labrador; Encana","keywords":"Chemistry; Flocculation; Coagulation; Precipitation; Electrocoagulation; Breakage; Salt (chemistry); Chemical engineering; Chromatography; Materials science; Composite material; Organic chemistry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002124901,0.0002441725,0.0002314643,0.0003939897,0.0002681559,0.0003456227,0.000200396,0.0004780913,0.0005696426],"category_scores_gemma":[0.0005789831,0.0001613837,0.000275465,0.0002145954,0.0002635909,0.0003771943,0.0001809694,0.0003279108,0.0001166316],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004038731,"about_ca_system_score_gemma":0.0002650157,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003092119,"about_ca_topic_score_gemma":0.002868944,"domain_scores_codex":[0.9998413,0.00001681686,0.000009729477,0.00002143726,0.00006853985,0.00004213185],"domain_scores_gemma":[0.9997342,0.00007126036,0.00003394851,0.00001437901,0.0001102488,0.00003594422],"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":[0.0001230708,0.00001700321,0.0005772897,0.00001665772,0.000004733622,0.00003327342,0.00004737657,0.0001292053,0.9979836,0.00003781305,0.00001565237,0.001014372],"study_design_scores_gemma":[0.00001426655,0.0002680937,0.0322849,0.000006478381,0.0000199663,0.00008411682,0.0001009262,0.001219498,0.9653917,0.00004236886,0.0005606962,0.000007090987],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988919,0.0002458789,0.0002389134,0.00001659256,0.000006162612,0.00000974556,0.00006359565,0.000005243295,0.0005219945],"genre_scores_gemma":[0.99822,0.0001885723,0.0004077756,0.00001612579,0.000004576732,0.00001392429,0.000291158,0.000007482352,0.0008503245],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003092119,"threshold_uncertainty_score":0.006148219,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006695656647535581,"score_gpt":0.1940116517792358,"score_spread":0.1873159951317002,"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."}}