{"id":"W4281487158","doi":"10.3390/polym14112147","title":"Environmental-Friendly Adsorbent Composite Based on Hydroxyapatite/Hydroxypropyl Methyl-Cellulose for Removal of Cationic Dyes from an Aqueous Solution","year":2022,"lang":"en","type":"article","venue":"Polymers","topic":"Adsorption and biosorption for pollutant removal","field":"Environmental Science","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Adsorption; Freundlich equation; Thermogravimetric analysis; Aqueous solution; Nanocomposite; Materials science; Langmuir adsorption model; Chemical engineering; Langmuir; Composite number; Fourier transform infrared spectroscopy; Scanning electron microscope; Cationic polymerization; Nuclear chemistry; Chemistry; Composite material; Organic chemistry; Polymer 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":[0.0001621008,0.0003470476,0.000300719,0.0003392688,0.0001337919,0.0002710597,0.000280436,0.0004549272,0.0005171103],"category_scores_gemma":[0.0001350994,0.0001528842,0.0003831763,0.0001725916,0.0001148516,0.0002222252,0.0002063924,0.0003216174,0.0002464494],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001870105,"about_ca_system_score_gemma":0.0002481376,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007664411,"about_ca_topic_score_gemma":0.001850383,"domain_scores_codex":[0.9998332,0.00001540564,0.00001171058,0.00002779939,0.00008445397,0.00002732901],"domain_scores_gemma":[0.9999229,0.0000163785,0.00001697726,0.00000443882,0.00002653906,0.00001275244],"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":[0.00002294862,0.00001783326,0.00008774675,0.0001077291,0.000006450162,0.00004377514,0.000003980938,0.00007647644,0.9977987,0.000019056,0.00001201676,0.001803258],"study_design_scores_gemma":[0.000008161657,0.0001658856,0.002044919,0.0000066464,0.00002503004,0.0002262452,0.00001488886,0.001445249,0.994876,0.00002005224,0.001158649,0.000008329555],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.965807,0.01151404,0.01991216,0.0001290862,0.00007126202,0.0000783064,0.0001802012,0.0001731992,0.002134769],"genre_scores_gemma":[0.977995,0.002334674,0.0169486,0.00007631107,0.00001906824,0.00004291892,0.0001858423,0.00001873012,0.00237885],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007664411,"threshold_uncertainty_score":0.001729846,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009007023587339886,"score_gpt":0.2284774231455789,"score_spread":0.219470399558239,"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."}}