{"id":"W4226266165","doi":"10.26434/chemrxiv-2021-jrrhr-v3","title":"Super-bridging Fibrous Materials for Water Treatment: Impacts on Removal of Plastic Particles, Phosphorus and Natural Organic Matter","year":2021,"lang":"en","type":"preprint","venue":"ChemRxiv","topic":"Phosphorus and nutrient management","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; McGill University","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada; McGill University; Killam Trusts; Fonds Québécois de la Recherche sur la Nature et les Technologies; Canada Foundation for Innovation; Canada Research Chairs","keywords":"Flocculation; Settling; Waste management; Environmental science; Water treatment; Sewage treatment; Materials science; Microplastics; Organic matter; Process engineering; Pulp and paper industry; Environmental engineering; Chemistry; Engineering; Environmental 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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001650117,0.0003335508,0.0004288181,0.0000299529,0.00008120537,0.0001124475,0.0001773188,0.000117511,0.001375927],"category_scores_gemma":[0.0000345686,0.0002391349,0.0001274568,0.00005121049,0.00009841173,0.0001036202,0.0006616065,0.00009752193,0.0001088632],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000339076,"about_ca_system_score_gemma":0.00001339533,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002273408,"about_ca_topic_score_gemma":0.000009171987,"domain_scores_codex":[0.998346,0.00002522902,0.000326195,0.000608931,0.000247228,0.0004464444],"domain_scores_gemma":[0.99929,0.00006144741,0.0001075606,0.0004231383,0.00001355192,0.0001042688],"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":[0.0003465747,0.000288258,0.005365199,0.0003202389,0.000183646,0.0000771808,0.0008895539,0.0001220409,0.9896311,0.00001463037,0.001477118,0.001284477],"study_design_scores_gemma":[0.0007503963,0.0001440425,0.01349585,0.0001565513,0.000123702,0.00001476236,0.00005533237,0.0001328985,0.9832039,0.0001426713,0.001484262,0.0002955791],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980452,0.0004683178,0.00002478141,0.0002118241,0.0005298844,0.0005398318,0.00001981861,0.00002607154,0.0001342818],"genre_scores_gemma":[0.9986361,0.0002461728,0.0002453477,0.0001395927,0.00006060093,0.00006452479,0.0001094685,0.00004214687,0.0004560665],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008130648,"threshold_uncertainty_score":0.9995369,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01017629521461241,"score_gpt":0.2130420571203062,"score_spread":0.2028657619056938,"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."}}