{"id":"W2514710385","doi":"10.1061/9780784480144.041","title":"Geotechnical Characterization of a Soil-Water Treatment Sludge Mixture","year":2016,"lang":"en","type":"article","venue":"Geo-Chicago 2016","topic":"Recycling and utilization of industrial and municipal waste in materials production","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"WiLAN (Canada)","funders":"","keywords":"Geotechnical engineering; Environmental science; Characterization (materials science); Geology; Soil science; Materials science","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":[0.0002566477,0.0002522432,0.0003522508,0.001528769,0.0003603643,0.0004109621,0.0001228129,0.0002871017,0.0006934101],"category_scores_gemma":[0.0002775659,0.000167211,0.000292091,0.0009583529,0.0002541375,0.0002568098,0.0003294513,0.0001557199,0.0001919334],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002053375,"about_ca_system_score_gemma":0.0002685922,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001277572,"about_ca_topic_score_gemma":0.003796895,"domain_scores_codex":[0.9996044,0.00005175932,0.00005944119,0.0000635266,0.000183439,0.00003751774],"domain_scores_gemma":[0.9997886,0.00003436042,0.00006137435,0.00001237492,0.00007290254,0.0000303941],"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":[0.0001592954,0.0000390123,0.01527882,0.00008596349,0.00001320515,0.000138026,0.00009668426,0.0004728216,0.97843,0.00004312506,0.0000183828,0.005224607],"study_design_scores_gemma":[0.00001700675,0.001247602,0.1632586,0.00002867398,0.00007255731,0.0007014422,0.0005549018,0.003108678,0.8283432,0.00008133206,0.00256572,0.0000204228],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979149,0.0001204148,0.001244193,0.000008695564,0.000002216985,0.0000231505,0.0001710259,0.00001200258,0.0005033563],"genre_scores_gemma":[0.9976343,0.0001216755,0.001524992,0.000009470607,0.000002035363,0.00001881873,0.0002326341,0.000005179259,0.0004508122],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001528769,"threshold_uncertainty_score":0.002540231,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0165459451407838,"score_gpt":0.2202287492307115,"score_spread":0.2036828040899277,"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."}}