{"id":"W3102497359","doi":"10.11159/iccste20.244","title":"Fresh and Hardened Properties of Engineered Geopolymer Compositewith MgO","year":2020,"lang":"en","type":"article","venue":"Proceedings of the International Conference on Civil, Structural and Transportation Engineering","topic":"Concrete and Cement Materials Research","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Geopolymer; Composite number; Materials science; Composite material; Compressive strength","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.00002698219,0.0001087705,0.0001361668,0.00004441011,0.00001929913,0.00003426665,0.0001423043,0.0000284582,0.00005005187],"category_scores_gemma":[0.0000101401,0.00008026881,0.00002636476,0.00006134006,0.00003263238,0.0001325708,0.00001217856,0.00008245705,2.118493e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006380227,"about_ca_system_score_gemma":0.000005569862,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001464681,"about_ca_topic_score_gemma":0.000004088614,"domain_scores_codex":[0.99941,9.098319e-7,0.0001928241,0.000102215,0.0002072963,0.00008680895],"domain_scores_gemma":[0.9997821,0.000006506133,0.00003762154,0.00002398712,0.0001061013,0.00004370869],"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":[0.00004611068,0.000001354979,0.001570301,0.0003746957,0.00006465642,1.703344e-7,0.0007312585,0.001857169,0.989441,0.005752202,0.00001182621,0.0001492129],"study_design_scores_gemma":[0.0003490448,0.00004626381,0.02123288,0.0002014978,0.00001899586,0.000001572704,0.0001752857,0.1052705,0.8724667,0.0000756885,0.0000368964,0.0001247133],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989922,0.0001106235,0.00003880303,0.0003433498,0.00009385728,0.0001083429,0.0000411019,0.00003930817,0.0002323941],"genre_scores_gemma":[0.9997358,0.0000848781,0.000100024,0.0000149738,0.00003123906,0.000007005025,0.000006040844,0.0000107457,0.000009294481],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1169744,"threshold_uncertainty_score":0.3273267,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02065938951624181,"score_gpt":0.2082283044307907,"score_spread":0.1875689149145489,"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."}}