{"id":"W3030004374","doi":"10.1016/j.conbuildmat.2020.119627","title":"Influence of SiO2, TiO2 and Fe2O3 nanoparticles on the properties of fly ash blended cement mortars","year":2020,"lang":"en","type":"article","venue":"Construction and Building Materials","topic":"Concrete and Cement Materials Research","field":"Engineering","cited_by":176,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Materials science; Fly ash; Cementitious; Microstructure; Mortar; Composite material; Porosity; Flexural strength; Cement; Nanoparticle; Compressive strength; Nanoindentation; Curing (chemistry); Scanning electron microscope; Nanotechnology","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":[0.0001629094,0.0002945578,0.0001871848,0.0002036439,0.0001252754,0.0002456314,0.000122913,0.0002316804,0.0005060054],"category_scores_gemma":[0.0002557593,0.0001637909,0.0002482862,0.00009959526,0.0001610794,0.0002072122,0.00009597557,0.0002683142,0.0001458168],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001637116,"about_ca_system_score_gemma":0.00009970397,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008162238,"about_ca_topic_score_gemma":0.002870951,"domain_scores_codex":[0.9998815,0.00001446995,0.0000132538,0.00002350674,0.00004512082,0.0000221438],"domain_scores_gemma":[0.9998247,0.00004541552,0.00005409411,0.000009642173,0.00004068444,0.00002548552],"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":[0.00008363722,0.00001937749,0.0003793319,0.00004086237,0.000008787055,0.00003259638,0.00001947059,0.0002152987,0.9983382,0.00001461181,0.000009061248,0.0008387413],"study_design_scores_gemma":[0.000002718312,0.0002587009,0.004578997,0.000003212426,0.00001681657,0.00002934938,0.00002478525,0.0005342792,0.99421,0.000008568545,0.0003282553,0.000004297742],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998812,0.0003231074,0.0002999078,0.000009887746,0.000006571738,0.000005121556,0.00005562502,0.00001186063,0.0004760202],"genre_scores_gemma":[0.9986469,0.0002245186,0.0004477616,0.00001085026,0.000002710048,0.000004772644,0.00005408979,0.000008988754,0.0005993271],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008162238,"threshold_uncertainty_score":0.001692772,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0264621464798469,"score_gpt":0.2211853235099225,"score_spread":0.1947231770300756,"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."}}