{"id":"W4414318939","doi":"10.1515/rams-2025-0131","title":"Innovative optimization of seashell ash-based lightweight foamed concrete: Enhancing physicomechanical properties through ANN-GA hybrid approach","year":2025,"lang":"en","type":"article","venue":"REVIEWS ON ADVANCED MATERIALS SCIENCE","topic":"BIM and Construction Integration","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Ultimate tensile strength; Curing (chemistry); Porosity; Compressive strength; Flexural strength; Cement; Absorption of water; Response surface methodology","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":[],"consensus_categories":[],"category_scores_codex":[0.0004542888,0.0002025193,0.0004647201,0.0001337234,0.0001150652,0.00006763793,0.0002549661,0.00004109555,0.00003751587],"category_scores_gemma":[0.0001769204,0.000153799,0.00004345325,0.001144184,0.0002344445,0.0005468596,0.00003003562,0.00008635627,0.00001023859],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001184774,"about_ca_system_score_gemma":0.0001183497,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001834608,"about_ca_topic_score_gemma":2.236548e-7,"domain_scores_codex":[0.9985452,0.00007375021,0.0006056852,0.0003270454,0.0002281349,0.0002201656],"domain_scores_gemma":[0.9991684,0.00002466944,0.000185415,0.0003074243,0.0002834825,0.00003061197],"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":[0.00002242269,0.00001060563,5.857635e-7,0.000459616,0.000004577712,1.204091e-7,0.00003965727,0.02621424,0.9586084,0.008662232,0.00003168049,0.005945858],"study_design_scores_gemma":[0.0002163051,0.00004140439,0.000002789368,0.0007166421,0.000009455526,0.000001043955,0.00003070749,0.02021828,0.9768012,0.0001797028,0.001630055,0.0001523855],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08677714,0.002369636,0.9027101,0.00006852428,0.001477232,0.001403977,0.00002732703,0.0002429636,0.004923047],"genre_scores_gemma":[0.9217025,0.001027796,0.07673117,0.0001775853,0.00004564189,0.00022968,0.00001783398,0.00001657762,0.00005124126],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8349254,"threshold_uncertainty_score":0.6271741,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01778793455788553,"score_gpt":0.2539344024589038,"score_spread":0.2361464679010183,"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."}}