{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002664947,0.0002253389,0.0002168212,0.000102585,0.0003395083,0.00001731644,0.0003192205,0.00007148873,0.009128687],"category_scores_gemma":[0.00001029745,0.0002314142,0.0001846678,0.000193322,0.0002423902,0.0001506655,0.0001328649,0.0001615731,0.0001152489],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005465204,"about_ca_system_score_gemma":0.00002448994,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000903792,"about_ca_topic_score_gemma":0.00004904757,"domain_scores_codex":[0.9978871,0.0002068056,0.000384717,0.0005201421,0.0006757934,0.000325397],"domain_scores_gemma":[0.9990708,0.00007518737,0.0002815197,0.0004024754,0.000003260029,0.000166792],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004694358,0.0009308224,0.001129293,0.000006266502,0.00003037141,0.000009924212,0.0004100755,0.00933479,0.9509282,0.0001769423,0.000412814,0.03616111],"study_design_scores_gemma":[0.003673247,0.002643101,0.01164408,0.0000174153,0.0001837869,0.00005486121,0.00050728,0.5573739,0.3670352,0.0008325988,0.05500319,0.001031354],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9906084,0.0001340562,0.004217787,0.0006608034,0.0003065363,0.0005993056,0.000878296,0.00007929626,0.002515499],"genre_scores_gemma":[0.9947965,0.000008289665,0.002479123,0.0006742034,0.0000403609,0.00006698536,0.0005749781,0.00003375029,0.001325795],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.583893,"threshold_uncertainty_score":0.9917771,"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."}}