{"id":"W4317498056","doi":"10.1016/b978-0-12-823038-1.00011-8","title":"Graphitic carbon nitride-based materials for biomedical applications","year":2023,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Advanced Photocatalysis Techniques","field":"Energy","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Biocompatibility; Nanotechnology; Materials science; Graphitic carbon nitride; Boron nitride; Chemistry; Photocatalysis; Metallurgy","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008279435,0.000569232,0.0002270325,0.0004793386,0.0001846863,0.0005821235,0.0005956296,0.0005693769,0.01698061],"category_scores_gemma":[0.00006211302,0.0002225549,0.0001958029,0.0005735977,0.0001890433,0.000637783,0.00029584,0.0007086526,0.006039418],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003789672,"about_ca_system_score_gemma":0.000239603,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005817001,"about_ca_topic_score_gemma":0.002038209,"domain_scores_codex":[0.9999466,0.000002303251,0.000002219057,0.000008697262,0.00003472107,0.000005420144],"domain_scores_gemma":[0.9999807,0.00000637379,0.000001906085,0.000002446967,0.000005901699,0.000002589464],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008074016,0.0001021224,0.0000640045,0.001863387,0.00002208113,0.0002791707,0.00007041449,0.00122356,0.6058486,0.03433098,0.05106378,0.3050512],"study_design_scores_gemma":[0.00001102132,0.0000872391,0.0004455514,0.0001821166,0.00001837112,0.0006557516,0.00003031891,0.00163075,0.1650066,0.01168946,0.8202237,0.00001907976],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.03013988,0.2418254,0.04304764,0.001614596,0.004175646,0.0001516245,0.001321444,0.001280635,0.6764432],"genre_scores_gemma":[0.07862334,0.1405985,0.02850124,0.0007685039,0.0005611433,0.0001118296,0.001856392,0.0004432371,0.7485359],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.01698061,"threshold_uncertainty_score":0.05680585,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01896109644203912,"score_gpt":0.2737258515414614,"score_spread":0.2547647550994223,"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."}}