{"id":"W4406615049","doi":"10.1007/978-3-031-73310-9_6","title":"Investigating an Innovative Masonry Block to Enhance the Thermal Efficiency","year":2025,"lang":"en","type":"book-chapter","venue":"Lecture notes in civil engineering","topic":"Masonry and Concrete Structural Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Masonry; Block (permutation group theory); Architectural engineering; Forensic engineering; Geology; Computer science; Engineering; Civil engineering; Geometry; Mathematics","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":[0.0001602716,0.0002401334,0.0002747408,0.0002218016,0.000226177,0.0004625083,0.0005132757,0.000525895,0.003823009],"category_scores_gemma":[0.0002404562,0.0001683513,0.0002535583,0.0001826759,0.0001878058,0.0003609185,0.0002580691,0.0002508111,0.0009504955],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001810179,"about_ca_system_score_gemma":0.0002410371,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005087233,"about_ca_topic_score_gemma":0.001361079,"domain_scores_codex":[0.9998975,0.00001200657,0.000002324159,0.00001588611,0.00005467027,0.00001768426],"domain_scores_gemma":[0.9999115,0.00001909365,0.00001107273,0.00001436435,0.00002979829,0.00001410445],"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":[0.0002311061,0.0001931217,0.000795181,0.000220901,0.00001923416,0.0001662159,0.00009601703,0.02101916,0.9380623,0.006835321,0.0007508348,0.03161061],"study_design_scores_gemma":[0.0001004499,0.002535586,0.007487412,0.00005980431,0.0001915156,0.000555755,0.000190757,0.234818,0.707502,0.001977718,0.04454172,0.00003933078],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8492277,0.001079155,0.1151678,0.0002082413,0.0001697144,0.0001090971,0.0001170408,0.0004975462,0.03342372],"genre_scores_gemma":[0.9329507,0.0003418569,0.04620746,0.00003912191,0.00001459302,0.0000326468,0.00008807494,0.00007492937,0.02025059],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003823009,"threshold_uncertainty_score":0.01278925,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006107381743361691,"score_gpt":0.2119183174203852,"score_spread":0.2058109356770235,"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."}}