{"id":"W4407204336","doi":"10.1080/25740881.2025.2460206","title":"Biocompatible Graphene Polymer Composites: New Frontiers in Biomedical and Environmental Applications","year":2025,"lang":"en","type":"article","venue":"Polymer-Plastics Technology and Materials","topic":"Graphene and Nanomaterials Applications","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Jewish General Hospital","funders":"","keywords":"Biocompatible material; Graphene; Materials science; Composite material; Polymer; Nanotechnology; Engineering; Biomedical engineering","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":[],"consensus_categories":[],"category_scores_codex":[0.00004929458,0.0001732409,0.0002949339,0.0007937231,0.00009174053,0.00003142083,0.000128516,0.0002407083,0.0000336951],"category_scores_gemma":[0.000003321795,0.0001793068,0.00001381461,0.0004455401,0.0002895967,0.00004359935,0.00008102501,0.00007240117,0.000006480511],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001466008,"about_ca_system_score_gemma":0.00001401116,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003185487,"about_ca_topic_score_gemma":0.000005303556,"domain_scores_codex":[0.9991671,0.00001251525,0.0003088985,0.0002307839,0.00004655529,0.0002340927],"domain_scores_gemma":[0.9996698,0.00003369248,0.00003483621,0.0001901251,0.000003056329,0.00006850465],"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":[0.00001184345,0.0000475139,0.003197796,0.00005646721,0.00004857629,0.000001077082,0.00002007377,0.000001496793,0.9703772,0.0212947,0.001106071,0.003837198],"study_design_scores_gemma":[0.0005354815,0.000026723,0.001695088,0.00003794011,0.00004684186,0.000008625982,0.00007932718,0.00009416602,0.9851812,0.008158703,0.003955056,0.0001809149],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9433796,0.008058432,0.04693823,0.0003483851,0.000346017,0.0003503324,0.0002028392,0.0002842211,0.00009195671],"genre_scores_gemma":[0.9958299,0.001215724,0.002517267,0.00004375667,0.0000278753,0.0001884898,0.00008684794,0.00001676267,0.00007342097],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05245027,"threshold_uncertainty_score":0.7311918,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002501878983137804,"score_gpt":0.1852547295664697,"score_spread":0.1827528505833319,"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."}}