{"id":"W4410319110","doi":"10.1039/d5su00188a","title":"Modification of calcium carbonate from blue mussel shells with copper oxide nanoparticles","year":2025,"lang":"en","type":"article","venue":"RSC Sustainability","topic":"Calcium Carbonate Crystallization and Inhibition","field":"Materials Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University; Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada; Memorial University of Newfoundland; Canada Foundation for Innovation","keywords":"Calcium carbonate; Copper; Nanoparticle; Carbonate; Mussel; Aragonite; Calcium; Copper oxide; Chemistry; Chemical engineering; Inorganic chemistry; Materials science; Nanotechnology; Metallurgy; Fishery; Engineering; Biology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009456816,0.0002484882,0.0001006357,0.0001301654,0.000148865,0.0001875575,0.0001713103,0.0002312283,0.0005549351],"category_scores_gemma":[0.0001619202,0.0001526721,0.0001779722,0.00007053749,0.0001445081,0.0001022285,0.0001753211,0.000190365,0.0001308273],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002653651,"about_ca_system_score_gemma":0.0001619747,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002008579,"about_ca_topic_score_gemma":0.004252295,"domain_scores_codex":[0.9999146,0.000007233898,0.000005147749,0.00002165657,0.00003163581,0.00001975015],"domain_scores_gemma":[0.9999502,0.000008122696,0.00001310261,0.000006855094,0.00001282634,0.000008879988],"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":[0.00002394619,0.000005956109,0.00008694876,0.00002864839,0.00000315866,0.00002642762,0.00001338343,0.00007903619,0.9986731,0.00004924107,0.00005067432,0.0009594847],"study_design_scores_gemma":[0.000003158977,0.00003269267,0.0006149869,0.000001600632,0.000003499211,0.00003253929,0.000005827061,0.0006691228,0.9977499,0.000009338252,0.000874643,0.000002674839],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9901109,0.0005216574,0.004803473,0.00007116947,0.00002944916,0.00002277157,0.00006981423,0.0001105339,0.004260201],"genre_scores_gemma":[0.9931685,0.0002294994,0.002176125,0.00002832176,0.000003435833,0.00001324506,0.00006534741,0.00001835688,0.004297108],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002008579,"threshold_uncertainty_score":0.00399375,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01325636352120261,"score_gpt":0.2659289329864997,"score_spread":0.2526725694652971,"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."}}