{"id":"W4406287199","doi":"10.53555/sfs.v10i1.3279","title":"Comprehensive Evaluation of Geopolymer Concrete for Enhanced Railway Sleeper Performance","year":2023,"lang":"en","type":"article","venue":"Journal of Survey in Fisheries Sciences","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geopolymer; Geopolymer cement; Geotechnical engineering; Forensic engineering; Materials science; Structural engineering; Civil engineering; Engineering; Composite material; Compressive strength","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005855793,0.0004665533,0.0003322195,0.0006510113,0.0002167351,0.000369581,0.0002903457,0.0004343847,0.001763516],"category_scores_gemma":[0.0004149468,0.000118266,0.0003835871,0.0005255851,0.0002079977,0.0004530397,0.0003286335,0.0003171442,0.0003201865],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003633645,"about_ca_system_score_gemma":0.0004718171,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001097456,"about_ca_topic_score_gemma":0.0052842,"domain_scores_codex":[0.9996384,0.00004674196,0.00002412515,0.00004326826,0.0002096048,0.00003785669],"domain_scores_gemma":[0.9997317,0.00004101356,0.0000750098,0.00001951261,0.0001044587,0.00002842195],"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":[0.0002936289,0.0001289855,0.002732649,0.0004436495,0.00002061539,0.0001080507,0.00005418509,0.003428072,0.9766433,0.0002022253,0.00009053013,0.01585411],"study_design_scores_gemma":[0.00001041627,0.001968634,0.01181888,0.00004410744,0.00006768274,0.00008977552,0.0001626523,0.003682169,0.9794433,0.00008848641,0.002603478,0.0000203437],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.995153,0.0009300216,0.001976562,0.00002233037,0.00001083017,0.00003887201,0.0002122614,0.00003467644,0.001621464],"genre_scores_gemma":[0.9961098,0.0006603366,0.001825326,0.000009432195,0.000003022546,0.0000161527,0.0001394124,0.00001166973,0.001224852],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001763516,"threshold_uncertainty_score":0.005899549,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1321483846557125,"score_gpt":0.2827305157415114,"score_spread":0.150582131085799,"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."}}