{"id":"W4400234979","doi":"10.11159/iccste24.243","title":"Sustainable Concrete Design Using Brown Chicken Eggshell to Reduce Carbon Footprint","year":2024,"lang":"en","type":"article","venue":"Proceedings of the International Conference on Civil, Structural and Transportation Engineering","topic":"Geotechnical and construction materials studies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Carbon footprint; Footprint; Eggshell; Carbon fibers; Sustainable design; Environmental science; Computer science; Materials science; Sustainability; Composite material; Greenhouse gas; Ecology; Geology; Composite number; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006961784,0.0001546116,0.0001393183,0.0001054302,0.00004314398,0.00009846692,0.0001654152,0.00004537934,0.00001959195],"category_scores_gemma":[0.00001748445,0.0001199669,0.00004327064,0.0001479696,0.00002932505,0.00009039312,0.00001794853,0.0001304535,4.355338e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004663022,"about_ca_system_score_gemma":0.00001386542,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005462492,"about_ca_topic_score_gemma":0.000003345268,"domain_scores_codex":[0.9992555,0.000001417152,0.0002280145,0.0001717512,0.0001880417,0.0001552788],"domain_scores_gemma":[0.9997274,0.00001650526,0.0000276238,0.000036845,0.0001462403,0.00004538445],"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":[0.00003836834,0.000001079908,0.0001889095,0.00049955,0.0001222248,0.000002255955,0.0007737682,0.07992848,0.8144463,0.1030437,0.00001089781,0.0009443692],"study_design_scores_gemma":[0.0003148569,0.00008300068,0.01089385,0.0008972718,0.00008169068,0.00003305391,0.0009031333,0.4334742,0.5449967,0.007381084,0.0004281812,0.0005129322],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973794,0.00007572979,0.0006065767,0.0002894633,0.0006202526,0.0001971317,0.00001567534,0.0001700242,0.0006457219],"genre_scores_gemma":[0.9987181,0.00003422363,0.001047459,0.000007233271,0.00007040601,0.00001845057,0.000001808823,0.00001674929,0.00008554315],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3535457,"threshold_uncertainty_score":0.4892107,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01825695476738596,"score_gpt":0.2241396659807212,"score_spread":0.2058827112133353,"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."}}