{"id":"W2945529581","doi":"10.36487/acg_rep/1910_19_torres_lopez","title":"The effect of preconditioning of tailings prior to inline flocculation and deposition","year":2019,"lang":"en","type":"article","venue":"Paste/Paste","topic":"Coagulation and Flocculation Studies","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"BASF (Canada)","funders":"BASF Corporation","keywords":"Tailings; Flocculation; Deposition (geology); Environmental science; Waste management; Materials science; Environmental engineering; Metallurgy; Geology; Engineering","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":[0.0002094385,0.0004576268,0.0003317097,0.000130463,0.0001721183,0.0003447602,0.0002312889,0.0002973523,0.001367229],"category_scores_gemma":[0.000672275,0.0001346253,0.0002257818,0.0001194415,0.0001839138,0.0002591471,0.0001878646,0.0005089649,0.0001807938],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001527415,"about_ca_system_score_gemma":0.0003231887,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001319605,"about_ca_topic_score_gemma":0.002123822,"domain_scores_codex":[0.9998233,0.00002793939,0.00002741656,0.00004537018,0.00003600983,0.00003999058],"domain_scores_gemma":[0.9995378,0.0001372055,0.0001405058,0.00004276786,0.00007531175,0.0000663941],"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":[0.0003770006,0.0002200194,0.000397927,0.00008002935,0.0000129834,0.00003786142,0.00004191449,0.0001998807,0.9960994,0.00001586242,0.00002027492,0.00249688],"study_design_scores_gemma":[0.00001241912,0.00229227,0.004432685,0.000007071109,0.00002767134,0.00003198994,0.00002789422,0.0002639432,0.9925162,0.000006694019,0.0003769349,0.000004246764],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990307,0.0001635618,0.0003536747,0.00001080123,0.00001294447,0.00002533544,0.00004487259,0.00001353806,0.0003445763],"genre_scores_gemma":[0.9973782,0.0002770772,0.001538944,0.00002222054,0.000008478092,0.00001593081,0.00007983294,0.00001203814,0.000667258],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001367229,"threshold_uncertainty_score":0.004573882,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003469799315059287,"score_gpt":0.2224903158326026,"score_spread":0.2190205165175433,"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."}}