{"id":"W4409638787","doi":"10.1016/j.cscm.2025.e04680","title":"Experimental study on the micro-mechanism and compressive strength of concrete with calcined coal gangue coarse aggregate","year":2025,"lang":"en","type":"article","venue":"Case Studies in Construction Materials","topic":"Geomechanics and Mining Engineering","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"Chongqing Postdoctoral Science Special Foundation; Fundamental Research Funds for the Central Universities; Natural Science Foundation of Chongqing; Postdoctoral Research Foundation of China; National Natural Science Foundation of China","keywords":"Aggregate (composite); Compressive strength; Gangue; Coal; Mechanism (biology); Calcination; Materials science; Geotechnical engineering; Composite material; Waste management; Geology; Metallurgy; Engineering; Chemistry","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":[0.0001756347,0.0002055565,0.0001225678,0.0002979181,0.0002262112,0.00008535505,0.0001470841,0.0002115565,0.0009878963],"category_scores_gemma":[0.0002010598,0.0001174777,0.0001761156,0.0002408821,0.0002748087,0.0001537013,0.0001357234,0.0002205868,0.00008213999],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001956723,"about_ca_system_score_gemma":0.0001274522,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001944988,"about_ca_topic_score_gemma":0.00520793,"domain_scores_codex":[0.9998524,0.0000103729,0.000007818873,0.00003146645,0.00007677825,0.00002114152],"domain_scores_gemma":[0.999808,0.00004475479,0.00004864372,0.00001888917,0.00005382542,0.00002584215],"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":[0.00009095502,0.00003489339,0.00204355,0.00002869945,0.000004519181,0.00004932587,0.00004566729,0.0006477373,0.9961479,0.00004823574,0.000009536764,0.0008489648],"study_design_scores_gemma":[0.000006446638,0.000431234,0.02543227,0.000002998268,0.00001491355,0.0000586688,0.00005764575,0.002929945,0.9707469,0.00002464001,0.0002865181,0.000007847425],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993756,0.00004279217,0.0002945066,0.000002429681,0.000001600713,0.000004622193,0.00003514195,0.000005340863,0.0002379882],"genre_scores_gemma":[0.9992608,0.0000365797,0.0003748157,0.000001785368,8.123845e-7,0.000003132423,0.00002548558,0.00000176494,0.0002948232],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001944988,"threshold_uncertainty_score":0.003867269,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0183178571357525,"score_gpt":0.2649426709148261,"score_spread":0.2466248137790736,"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."}}