{"id":"W4396814449","doi":"10.1016/j.jobe.2024.109574","title":"Combined application of CDWs as precursors and aggregates in geopolymer composites: A comprehensive rheological analysis","year":2024,"lang":"en","type":"article","venue":"Journal of Building Engineering","topic":"Innovations in Concrete and Construction Materials","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Rheology; Geopolymer; Composite material; Materials science; Composite number; Compressive strength","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":[0.0001549044,0.00009996934,0.0002977985,0.0007254577,0.00001211245,0.00003828935,0.00007682642,0.0000619532,0.0000142445],"category_scores_gemma":[0.00002426529,0.00009371032,0.00006897649,0.00075712,0.0000254673,0.0001347854,0.00001701292,0.0001539322,6.818412e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003584563,"about_ca_system_score_gemma":0.000009538138,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008216021,"about_ca_topic_score_gemma":3.294756e-7,"domain_scores_codex":[0.9992474,0.00001146888,0.0004606552,0.00007775366,0.0001031768,0.00009956156],"domain_scores_gemma":[0.9996289,0.0001342512,0.00006766486,0.00007039333,0.00007154643,0.00002722448],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001987772,0.000007501026,0.002706749,0.0002943911,0.0006602726,0.00001939859,0.0002299128,0.5741042,0.4052536,0.01108727,0.00001714132,0.005599655],"study_design_scores_gemma":[0.0003446973,0.00008404108,0.003702898,0.0003759351,0.0002465368,0.0001334842,0.00008899269,0.9064203,0.08708479,0.0004986928,0.0008157611,0.0002038513],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9355838,0.002746445,0.06121808,0.00002526911,0.0002742262,0.00005400386,0.000002946729,0.00005398582,0.00004123191],"genre_scores_gemma":[0.9922426,0.0001594498,0.007517864,0.00000552011,0.00005341059,0.00000389882,0.000001846308,0.00001228504,0.000003102644],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3323161,"threshold_uncertainty_score":0.3821396,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004514447909377019,"score_gpt":0.2287638029771831,"score_spread":0.224249355067806,"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."}}