{"id":"W2918879004","doi":"10.1002/pat.4563","title":"Improved antibacterial properties of an Mg‐Zn‐Ca alloy coated with chitosan nanofibers incorporating silver sulfadiazine multiwall carbon nanotubes for bone implants","year":2019,"lang":"en","type":"article","venue":"Polymers for Advanced Technologies","topic":"Magnesium Alloys: Properties and Applications","field":"Materials Science","cited_by":64,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Materials science; Chitosan; Nanofiber; Silver sulfadiazine; Electrospinning; Carbon nanotube; Fourier transform infrared spectroscopy; Biocompatibility; Chemical engineering; Scanning electron microscope; Coating; Alloy; Composite material; Nuclear chemistry; Metallurgy; Chemistry; Wound healing; Medicine; Polymer","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001405165,0.0003792612,0.00059213,0.000157802,0.0002103251,0.00006497489,0.0005499665,0.0002098713,0.00001334805],"category_scores_gemma":[0.00008912871,0.0002735112,0.00008632281,0.0002377458,0.0004380927,0.0004269219,0.0001240562,0.00009183947,0.000002008371],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003351685,"about_ca_system_score_gemma":0.0001029377,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003183556,"about_ca_topic_score_gemma":0.0001313739,"domain_scores_codex":[0.9979578,0.00002112683,0.0005434179,0.0006741295,0.0001871269,0.0006164399],"domain_scores_gemma":[0.9985942,0.00005670882,0.000478955,0.0006687889,0.000143924,0.00005745083],"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":[0.001440312,0.00009363758,0.0001518426,0.0002890362,0.00002308905,5.617983e-7,0.0001188507,0.00008757295,0.9933912,0.0002585491,0.000002349329,0.004143057],"study_design_scores_gemma":[0.002407305,0.001470845,0.00003700079,0.0001006518,0.00004449802,0.000007542091,0.001917427,0.00366875,0.9895921,0.0001016517,0.0002037953,0.0004484763],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9950584,0.000325682,0.000168751,0.0002763637,0.0003011595,0.00275115,0.0003010994,0.0007384975,0.00007893455],"genre_scores_gemma":[0.9695671,0.00002404246,0.02915446,0.00002112585,0.00003394295,0.000895459,0.00008708054,0.00006834656,0.0001484767],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02898571,"threshold_uncertainty_score":0.9999717,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01058253566475965,"score_gpt":0.2214741958203641,"score_spread":0.2108916601556045,"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."}}