{"id":"W2911518765","doi":"10.3390/ma12030375","title":"Mixture Proportion Design Method of Steel Fiber Reinforced Recycled Coarse Aggregate Concrete","year":2019,"lang":"en","type":"article","venue":"Materials","topic":"Recycled Aggregate Concrete Performance","field":"Engineering","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"National Natural Science Foundation of China","keywords":"Aggregate (composite); Materials science; Cement; Fiber; Composite material; Structural engineering; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005968139,0.0002784941,0.0005841421,0.0001058323,0.00002791469,0.00005499643,0.0002336711,0.0002159053,0.002237457],"category_scores_gemma":[0.00004076441,0.0002491256,0.00007150503,0.0001664289,0.00003494636,0.0003150324,0.00004772827,0.00009767514,0.0004664696],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006688108,"about_ca_system_score_gemma":0.00002787008,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002457177,"about_ca_topic_score_gemma":2.559704e-7,"domain_scores_codex":[0.9983331,0.0001510578,0.0006698955,0.0002476924,0.0002474949,0.0003507606],"domain_scores_gemma":[0.9989772,0.00008459032,0.0002619783,0.0005025491,0.00009868007,0.00007503398],"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":[0.0001334381,5.895287e-7,0.000008511361,0.0003119482,0.00005703021,0.000005652708,0.0001857766,0.00550205,0.9897452,0.00009350914,0.0004787863,0.003477522],"study_design_scores_gemma":[0.0007001577,0.00008458873,0.00006200851,0.000229372,0.00003279216,0.00002661474,0.00001468515,0.02412097,0.9704069,0.0000407296,0.003977762,0.0003033956],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9851318,0.0001610269,0.008595413,0.0000263408,0.001121122,0.0009455448,0.00004932293,0.0003797025,0.003589732],"genre_scores_gemma":[0.958161,0.0001928714,0.03670038,0.00004088569,0.0001393336,0.00008223866,0.00006933756,0.0001121062,0.004501821],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02810497,"threshold_uncertainty_score":0.9999961,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01186460327914307,"score_gpt":0.2308630810302751,"score_spread":0.2189984777511321,"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."}}