{"id":"W4313828952","doi":"10.3390/buildings13010172","title":"Physico-Antibacterial Feature and SEM Morphology of Bio-Hydraulic Lime Mortars Incorporating Nano-Graphene Oxide and Binary Combination of Nano-Graphene Oxide with Nano Silver, Fly Ash, Zinc, and Titanium Powders","year":2023,"lang":"en","type":"article","venue":"Buildings","topic":"Building materials and conservation","field":"Earth and Planetary Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Colegiul Consultativ pentru Cercetare-Dezvoltare şi Inovare; Unitatea Executiva pentru Finantarea Invatamantului Superior, a Cercetarii, Dezvoltarii si Inovarii; Ministerul Cercetării, Inovării şi Digitalizării","keywords":"Mortar; Materials science; Fly ash; Lime; Lime mortar; Oxide; Composite material; Titanium oxide; Nano-; Chemical engineering; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003805143,0.0002606034,0.0004519932,0.0002756554,0.0001913374,0.00008192351,0.0001308662,0.0001713137,0.00001825878],"category_scores_gemma":[0.00002836448,0.0002241569,0.00004364516,0.0006446324,0.0003754351,0.0004119231,0.00005363863,0.00009493964,0.000001903006],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004083804,"about_ca_system_score_gemma":0.00004531907,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003237928,"about_ca_topic_score_gemma":0.0003158302,"domain_scores_codex":[0.998585,0.00008866074,0.0003487129,0.0004424424,0.0002452781,0.0002899326],"domain_scores_gemma":[0.9990909,0.0001209355,0.0004273141,0.0001671558,0.00009674616,0.00009702556],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.000204365,0.00002043655,0.209656,0.0001315495,0.00005099917,0.000008490322,0.0001096033,0.00007315952,0.7884549,0.0004202306,0.000162988,0.0007073137],"study_design_scores_gemma":[0.001366501,0.0006692012,0.7564152,0.0002116762,0.0001039922,0.00005957755,0.000289195,0.0006195587,0.2384044,0.00135211,0.000153823,0.0003547712],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998563,0.0003603438,0.00001531868,0.0003923913,0.0001850038,0.0002702773,0.0001040462,0.00006762502,0.00004203178],"genre_scores_gemma":[0.9968449,0.0003199928,0.002441126,0.0001264122,0.00003357157,0.000003042783,0.0001905994,0.0000154435,0.00002489164],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5500505,"threshold_uncertainty_score":0.9140853,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00886294717008965,"score_gpt":0.1970575904893642,"score_spread":0.1881946433192745,"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."}}