{"id":"W4289711664","doi":"10.3390/ma15155336","title":"Predicting the Compressive Strength of Concrete Containing Binary Supplementary Cementitious Material Using Machine Learning Approach","year":2022,"lang":"en","type":"article","venue":"Materials","topic":"Concrete and Cement Materials Research","field":"Engineering","cited_by":54,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Metakaolin; Cementitious; Compressive strength; Fly ash; Pozzolan; Materials science; Properties of concrete; Computer science; Composite material; Cement; Portland cement","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":[0.0003793871,0.0008528722,0.0004726744,0.001162583,0.0001571535,0.0003771177,0.0005555559,0.0007971901,0.0005515781],"category_scores_gemma":[0.0007706133,0.0003124853,0.0005841706,0.0004767378,0.0001973586,0.00048519,0.0002610641,0.0003507829,0.0002147196],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004224044,"about_ca_system_score_gemma":0.0005158404,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004823435,"about_ca_topic_score_gemma":0.005653072,"domain_scores_codex":[0.9998017,0.00003161353,0.00001760525,0.00006560599,0.00005848232,0.00002493271],"domain_scores_gemma":[0.999575,0.0001945776,0.00008843369,0.00002839046,0.00009265156,0.00002091824],"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":[0.00011258,0.0002090538,0.009751127,0.00009455561,0.00004285362,0.00006349956,0.00001736094,0.9061944,0.02060312,0.0001783164,0.0002224921,0.06251059],"study_design_scores_gemma":[0.000001531501,0.00003415124,0.001548452,0.000002189953,0.00000624857,0.000005629806,0.00000381758,0.9948665,0.003401615,0.00007007646,0.00005573099,0.000004102659],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7387662,0.0006328626,0.2576622,0.0000763745,0.00002764287,0.00005999204,0.0003533423,0.0008160831,0.001605409],"genre_scores_gemma":[0.9757142,0.000107213,0.02318144,0.00001013782,0.000005568458,0.00003438153,0.0002551576,0.000008511818,0.0006833192],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004823435,"threshold_uncertainty_score":0.009590745,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0216799099301133,"score_gpt":0.2470358236963442,"score_spread":0.2253559137662309,"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."}}