{"id":"W4391719916","doi":"10.1016/j.watres.2024.121301","title":"Demonstrating scale-up of a novel water treatment process using super-bridging agents","year":2024,"lang":"en","type":"article","venue":"Water Research","topic":"Coagulation and Flocculation Studies","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"École de Technologie Supérieure; McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Bridging (networking); Scale (ratio); Water treatment; Process (computing); Environmental science; Computer science; Environmental engineering; Geography; Cartography; Computer security","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000509596,0.00009159114,0.0001088763,0.000102344,0.0002520684,0.00008196961,0.0000922322,0.00003059605,0.001273699],"category_scores_gemma":[0.000007461537,0.00005130507,0.00004733484,0.0001994539,0.0001835852,0.0002445326,0.000193565,0.00008918877,0.0005578479],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001702398,"about_ca_system_score_gemma":0.00001109604,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003333027,"about_ca_topic_score_gemma":0.00004204709,"domain_scores_codex":[0.998553,0.00004821987,0.0001993885,0.0002721468,0.0005539928,0.0003732874],"domain_scores_gemma":[0.9997636,0.00001409937,0.000006833918,0.0001292768,0.0000282575,0.00005790916],"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":[0.00001891478,0.0001026103,0.0571056,0.000066239,0.00003405402,0.00001011275,0.01485263,0.004623907,0.9141529,0.00001111956,0.0001123666,0.008909555],"study_design_scores_gemma":[0.000549248,0.0000764281,0.007838344,0.00009885334,0.00001772832,0.0000165672,0.001249879,0.2834199,0.7029179,0.0001186842,0.003510209,0.0001861877],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963188,0.00002120651,0.0008171872,0.0003553038,0.00007342939,0.0002203585,0.000005742459,0.00003045553,0.002157551],"genre_scores_gemma":[0.9982,0.000003446304,0.000316547,0.00001067033,0.0000399158,0.00001945288,0.000008293369,0.00001247297,0.001389202],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.278796,"threshold_uncertainty_score":0.9996393,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.209739397507361,"score_gpt":0.4225554193344011,"score_spread":0.21281602182704,"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."}}