{"id":"W2604805621","doi":"10.3390/pr5010012","title":"Poly(Poly(Ethylene Glycol) Methyl Ether Methacrylate) Grafted Chitosan for Dye Removal from Water","year":2017,"lang":"en","type":"article","venue":"Processes","topic":"Dye analysis and toxicity","field":"Chemistry","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Freundlich equation; Adsorption; Ethylene glycol; Langmuir; Polymer chemistry; Methacrylate; Chitosan; Langmuir adsorption model; Poly(methyl methacrylate); Ether; Chemistry; Methyl orange; Methyl methacrylate; Polymerization; Nuclear chemistry; Materials science; Polymer; Organic chemistry; Photocatalysis","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001621376,0.0004597259,0.0001894266,0.0003220175,0.0001407613,0.0001752284,0.0002176035,0.000421423,0.0009666511],"category_scores_gemma":[0.0001481546,0.000184708,0.0004154958,0.0002705542,0.0001153826,0.0002998001,0.0001873407,0.0003557869,0.0002818266],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000239319,"about_ca_system_score_gemma":0.0002325453,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002511522,"about_ca_topic_score_gemma":0.003941985,"domain_scores_codex":[0.99986,0.00001522658,0.00001117679,0.0000209283,0.00006385191,0.00002867038],"domain_scores_gemma":[0.9999431,0.000009225915,0.00001424389,0.000004202107,0.00001891476,0.00001029803],"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":[0.00002501763,0.00001488058,0.00003942448,0.00005387603,0.000004411816,0.0000302447,0.00000533619,0.0001130299,0.9981709,0.00002271498,0.00002405371,0.001496218],"study_design_scores_gemma":[0.000008623045,0.0001805037,0.001136255,0.000005797227,0.00001755431,0.00005948647,0.000008979136,0.002122601,0.9954095,0.00001318941,0.001027336,0.0000100597],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9778797,0.005585194,0.01297226,0.0001775253,0.0001040792,0.0001031042,0.0001456539,0.000142415,0.002890026],"genre_scores_gemma":[0.9860504,0.001974361,0.007904928,0.0000690312,0.00001433911,0.00003522227,0.0001006621,0.00001561009,0.003835435],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002511522,"threshold_uncertainty_score":0.004993737,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02543465301156061,"score_gpt":0.2878570249515519,"score_spread":0.2624223719399913,"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."}}