{"id":"W4409314655","doi":"10.18280/ijdne.200306","title":"Preparation of Chitosan-Glycidyl Methacrylate Grafted Rice Straw Cellulose (Chi/GMAgCell) Composite Film for Cadmium Ions Removal from Water","year":2025,"lang":"en","type":"article","venue":"International Journal of Design & Nature and Ecodynamics","topic":"Extraction and Separation Processes","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Universitas Syiah Kuala","keywords":"Glycidyl methacrylate; Chitosan; Cellulose; Rice straw; Straw; Composite number; Materials science; Methacrylate; Cadmium; Pulp and paper industry; Polymer chemistry; Chemical engineering; Nuclear chemistry; Composite material; Chemistry; Metallurgy; Engineering; Polymer; Inorganic chemistry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001620978,0.000142735,0.0002292733,0.0002851991,0.00004741295,0.00007671901,0.0002049138,0.0002003709,0.00001824263],"category_scores_gemma":[0.00004677778,0.0001192769,0.0001084656,0.0001013587,0.00002422267,0.0003438662,0.00001757515,0.0003595489,0.000001021287],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000370835,"about_ca_system_score_gemma":0.00005267565,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007876332,"about_ca_topic_score_gemma":0.00002372183,"domain_scores_codex":[0.998962,0.00003504044,0.0005491559,0.0001206055,0.000218581,0.0001145814],"domain_scores_gemma":[0.9991844,0.0001979116,0.0001822098,0.00007674992,0.0003057254,0.0000530568],"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":[0.000803623,0.0001104588,0.00008835437,0.00007911219,0.0007973268,0.00002820265,0.0005248199,0.07341061,0.9195913,0.001546568,0.001987133,0.001032511],"study_design_scores_gemma":[0.001333342,0.0001234019,0.0005899769,0.0001321058,0.000183847,0.0001137752,0.00009258804,0.3752631,0.6119447,0.004973305,0.005036606,0.0002131743],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5249106,0.001499837,0.4685289,0.0004934359,0.002212096,0.0002004787,0.0001336174,0.00003958498,0.001981372],"genre_scores_gemma":[0.9836881,0.0004099131,0.01524709,0.0001319948,0.0001479029,0.000003845389,0.00008808658,0.00001431721,0.0002687081],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4587775,"threshold_uncertainty_score":0.4863973,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00807914654931185,"score_gpt":0.2787111753181954,"score_spread":0.2706320287688836,"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."}}