{"id":"W4388931085","doi":"10.20944/preprints202311.1443.v1","title":"Performance of Ultra-High-Performance Concrete Enhanced with Sugarcane Bagasse Ash","year":2023,"lang":"en","type":"preprint","venue":"Preprints.org","topic":"Smart Materials for Construction","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Wuyi University; Natural Science Foundation of Fujian Province","keywords":"Materials science; Ultimate tensile strength; Flexural strength; Composite material; Cement; Repeatability; Compressive strength; Bagasse; Pulp and paper industry; Mathematics; Engineering","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":[0.0002848849,0.0004477988,0.0002320547,0.0003498689,0.0001619707,0.0002468727,0.0002685804,0.000371642,0.001194145],"category_scores_gemma":[0.0003356495,0.0001549985,0.0002686078,0.0003164037,0.0001842861,0.0003432452,0.0002363025,0.000352232,0.0003010796],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002472385,"about_ca_system_score_gemma":0.0002308677,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00339451,"about_ca_topic_score_gemma":0.009644982,"domain_scores_codex":[0.9997337,0.00002008555,0.00001559191,0.00004675328,0.0001386504,0.00004513429],"domain_scores_gemma":[0.9997409,0.00004232862,0.00004690903,0.00001908173,0.0001065257,0.00004419271],"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":[0.0001802137,0.00003397793,0.0005428139,0.00007611389,0.00001014449,0.00004376013,0.00002935625,0.0008969725,0.9951609,0.00002684832,0.00003484831,0.00296403],"study_design_scores_gemma":[0.00000299161,0.0002407114,0.002338403,0.000004644456,0.00001298341,0.00001616517,0.0000239019,0.001578012,0.995342,0.00000536146,0.0004280216,0.000006889532],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980332,0.0004853432,0.0006638776,0.00001646545,0.00001741777,0.000007000011,0.0001047195,0.00006696682,0.0006050635],"genre_scores_gemma":[0.9978296,0.0002726844,0.000616155,0.000009091559,0.000002068134,0.000003839005,0.00007735685,0.00001105082,0.001178154],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00339451,"threshold_uncertainty_score":0.006749511,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03728761690058018,"score_gpt":0.2614761201383157,"score_spread":0.2241885032377355,"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."}}