{"id":"W2087886978","doi":"10.1504/ijewm.2014.064083","title":"Regrowth of bacterial pathogen indicators after advanced electro-osmotic dewatering of biosolids","year":2014,"lang":"en","type":"article","venue":"International Journal of Environment and Waste Management","topic":"Electrokinetic Soil Remediation Techniques","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Biosolids; Dewatering; Pathogen; Microbiology; Chemistry; Environmental science; Pulp and paper industry; Environmental engineering; Biology; Engineering; Geotechnical engineering","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":[],"consensus_categories":[],"category_scores_codex":[0.0001777819,0.00009622591,0.0001569195,0.0002921224,0.00000572855,0.000009332417,0.0001744796,0.00002926841,0.00004223049],"category_scores_gemma":[0.000007277356,0.00008829084,0.00005246784,0.00003900178,0.00003374447,0.00008308572,0.0000610045,0.00006137283,7.765052e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005598196,"about_ca_system_score_gemma":0.000002120395,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":4.330147e-7,"about_ca_topic_score_gemma":8.492886e-8,"domain_scores_codex":[0.9990696,0.00001900465,0.0004137289,0.00007201233,0.0003256136,0.0001000411],"domain_scores_gemma":[0.9996429,0.00001910602,0.000201272,0.00008242812,0.00001798258,0.00003628162],"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":[0.0003708375,0.0001704137,0.01141377,0.000261373,0.001022199,0.00003323466,0.0004797869,0.008300885,0.7926625,0.001441258,0.0002512955,0.1835925],"study_design_scores_gemma":[0.00153692,0.0005494802,0.0266852,0.0002383997,0.000116053,0.00001614818,0.00007987139,0.001609853,0.9585887,0.001245942,0.009099687,0.0002337141],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9882187,0.0001506456,0.0107955,0.00005956767,0.0002005213,0.00007506588,0.00000353334,0.000009703967,0.0004867517],"genre_scores_gemma":[0.9948623,0.0009907174,0.003995304,0.00001323671,0.00009596422,0.000005477725,0.000004196461,0.00001391726,0.00001884332],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1833588,"threshold_uncertainty_score":0.3600396,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.001473799687082042,"score_gpt":0.1644230548542266,"score_spread":0.1629492551671445,"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."}}