{"id":"W2740025821","doi":"10.1002/app.45431","title":"Dithiocarbamate functionalized <scp>A</scp>l(<scp>OH</scp>)<sub>3</sub>‐polyacrylamide adsorbent for rapid and efficient removal of <scp>C</scp>u(II) and <scp>P</scp>b(II)","year":2017,"lang":"en","type":"article","venue":"Journal of Applied Polymer Science","topic":"Adsorption and biosorption for pollutant removal","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University","funders":"","keywords":"Adsorption; Fourier transform infrared spectroscopy; Thermogravimetric analysis; Metal ions in aqueous solution; Polyacrylamide; Dithiocarbamate; Nuclear chemistry; Chemistry; Hydroxide; Metal; Scanning electron microscope; Inorganic chemistry; Materials science; Polymer chemistry; Chemical engineering; Organic chemistry","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":[0.00006731841,0.0003775627,0.0001510399,0.0001878479,0.0001493403,0.0001713286,0.0001426019,0.0003157014,0.001027721],"category_scores_gemma":[0.0001004205,0.0001634917,0.0002044601,0.0001388691,0.0001532277,0.0001965999,0.0001525568,0.0003035997,0.0002856622],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001995671,"about_ca_system_score_gemma":0.0001961972,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009024905,"about_ca_topic_score_gemma":0.001534302,"domain_scores_codex":[0.9999263,0.00000828231,0.000005653013,0.0000156074,0.0000250808,0.00001918277],"domain_scores_gemma":[0.9999484,0.000007943045,0.00001673844,0.000004200891,0.00001166825,0.00001112573],"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":[0.00001782347,0.00000459254,0.00003458203,0.00003068374,0.000002290823,0.00001788637,0.000004399828,0.00004517971,0.9992539,0.00001957861,0.00002459848,0.0005444433],"study_design_scores_gemma":[0.000002383747,0.00004700569,0.0005298348,0.000001644683,0.00000539154,0.00004356962,0.000005368006,0.0005977472,0.9982637,0.000006931304,0.0004937389,0.000002866901],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9926052,0.0007655769,0.004553824,0.00007823575,0.00003178771,0.00002428077,0.0001241513,0.0001974125,0.001619489],"genre_scores_gemma":[0.9926122,0.0003171295,0.004719018,0.00004306333,0.000008157637,0.00002450828,0.0001106571,0.00001507953,0.002150045],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001027721,"threshold_uncertainty_score":0.003438115,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01105247420711963,"score_gpt":0.227376548023789,"score_spread":0.2163240738166694,"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."}}