{"id":"W2901695028","doi":"10.1016/j.aej.2018.07.011","title":"Compressive strength and microstructure of assorted wastes incorporated geopolymer mortars: Effect of solution molarity","year":2018,"lang":"en","type":"article","venue":"Alexandria Engineering Journal","topic":"Concrete and Cement Materials Research","field":"Engineering","cited_by":141,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hydro-Québec","funders":"Universiti Teknologi Malaysia; Ministry of Higher Education","keywords":"Molar concentration; Geopolymer; Materials science; Flexural strength; Compressive strength; Microstructure; Ultimate tensile strength; Sodium silicate; Dissolution; Scanning electron microscope; Sodium hydroxide; Composite material; Mortar; Chemical engineering; Organic chemistry; Chemistry","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":[0.0001510824,0.000204621,0.0001423919,0.0003024061,0.0001078708,0.0001782212,0.00009198863,0.000192338,0.0009506471],"category_scores_gemma":[0.0002370514,0.0001635617,0.0001643824,0.0001469572,0.0001534892,0.0001858646,0.00009799795,0.0002453115,0.0001531115],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001593747,"about_ca_system_score_gemma":0.0001161883,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007408614,"about_ca_topic_score_gemma":0.003064367,"domain_scores_codex":[0.9999017,0.000009060582,0.000009894003,0.00002062205,0.00004198674,0.00001677874],"domain_scores_gemma":[0.999804,0.00003428596,0.00007759393,0.000008041769,0.00004729779,0.00002879605],"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":[0.00004575961,0.00000626999,0.0006542274,0.00002763607,0.000003850162,0.00002131204,0.00002196678,0.00009777954,0.9983026,0.00001657701,0.000007153168,0.0007949008],"study_design_scores_gemma":[0.000002096564,0.0002681073,0.01798875,0.000005947976,0.00001950322,0.00007350968,0.00005094888,0.0003085722,0.9807179,0.0000152878,0.0005444412,0.000004848202],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985013,0.0003847706,0.0003871762,0.0000115287,0.000004586369,0.00000736015,0.0001231287,0.000008970378,0.00057113],"genre_scores_gemma":[0.9980112,0.0002847171,0.0005349778,0.00001111623,0.000003706162,0.000007685258,0.000120251,0.00000728506,0.001019085],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009506471,"threshold_uncertainty_score":0.003180206,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005541237275358994,"score_gpt":0.217629211346826,"score_spread":0.212087974071467,"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."}}