{"id":"W4390906816","doi":"10.3390/molecules29020445","title":"Chitosan Biocomposites with Variable Cross-Linking and Copper-Doping for Enhanced Phosphate Removal","year":2024,"lang":"en","type":"article","venue":"Molecules","topic":"Phosphorus and nutrient management","field":"Environmental Science","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"Ministry of Agriculture - Saskatchewan","keywords":"Chitosan; Copper; Swelling; Glutaraldehyde; Phosphate; Nuclear chemistry; Desorption; Adsorption; Solvent; Biocomposite; Chemistry; Materials science; Polymer chemistry; Organic chemistry; Composite number","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009624915,0.0001258434,0.00009882156,0.00002295241,0.000181953,0.0002302078,0.0001090746,0.00002834498,0.00005092174],"category_scores_gemma":[0.000004483878,0.00009987369,0.00002640754,0.0001637724,0.0001029348,0.000144604,0.0001369044,0.0000525089,0.00001955651],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002859543,"about_ca_system_score_gemma":0.000005573736,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005989709,"about_ca_topic_score_gemma":0.000006149642,"domain_scores_codex":[0.999127,0.000007907011,0.0001127021,0.0003617335,0.000142038,0.0002485858],"domain_scores_gemma":[0.9997624,0.00003261935,0.00002485611,0.0001240711,0.000002852079,0.00005321549],"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":[0.0001766955,0.00007435849,0.006566699,0.0002589679,0.00008598975,0.00006817741,0.0005629892,0.002475913,0.956835,0.0113736,0.0007070343,0.02081459],"study_design_scores_gemma":[0.0005760741,0.0002241123,0.003171743,0.0002957969,0.00004268194,0.00001627865,0.00003271604,0.01155828,0.9239029,0.002085611,0.05775753,0.000336326],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9479226,0.001433756,0.03752691,0.000172512,0.0001315532,0.0003857885,0.00000903107,0.00009985819,0.01231795],"genre_scores_gemma":[0.9786232,0.00009186934,0.02065398,0.0001928349,0.00002863988,0.00004850142,0.0000123796,0.00002099655,0.0003275668],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05705049,"threshold_uncertainty_score":0.4072731,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005982224124813472,"score_gpt":0.2306162505518858,"score_spread":0.2246340264270724,"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."}}